It is undeniable that the impact of RWR-ESM on the design of modern aircraft is enormous. It has been the centre of many heated debates over the years, with many believing that modern RWR/ESM will make powerful radars and low radar cross section obsolete, as aircrafts will be instantly targeted and shot down the moment they turn on their radars. On the other hand, others believe that RWR/ESM are not much better than a warning system. The truth is far more complex than that, however.
To clear out some of the common misconceptions about RWR/ESM and passive geolocation, this article will explain how they work.
Radar warning receiver (RWR)
RWR are systems designed to detect radio wave emissions of radar systems. Their original purpose was to warn pilots when a radio signal, that might be a threat, is detected. However, depending on the complexity of technologies involved, while some RWR systems (such as Mig-29’s SPO-15) can only do simple tasks such as detecting the presence of energy in a specific radar band and giving general direction, modern RWR systems (such as ALR-94 , ASQ-239 , Spectra) are capable of classifying the source of the radar by the signal’s strength, phase and waveform type, and even capable of pinpointing the exact location of a ground threat. Complex radar warning receivers are also known as electronic support measures (ESM) systems.
In general, an RWR will analyse the following characteristics of the pulse that it detects:
1. Radio Frequency (RF measured in GHz)
2. Amplitude (power measured in kW)
3. Direction of Arrival (DOA) – also called Angle of Arrival (AOA)
4. Time of Arrival (TOA)
5. Pulse Repetition Frequency (PRF measured in pulses per second )
6. PRI type
7. Pulse Width (PW)
8. Scan type and rate
9. Lobe (beam width)
More sophisticated ESM systems can measure additional parameters, such as PRI modulation characteristics, inter and intra-pulse Frequency Modulation (FM), missile guidance characteristics (e.g., the pattern of pulse spacing within a pulse group), and Continuous Wave (CW) signals.
PASSIVE DIRECTION FINDING AND EMITTER LOCATION
Direction Finding techniques
Lacking the transmitting element of a radar, RWR and ESM systems have to use various different alternative methods to determine the direction of the signal they receive. Each technique has its own advantages and drawbacks that will be explained below:
Rotating Directional Antenna
A rotating directional antenna is used, which has a polar gain pattern that varies as a function of the angle from the antenna foresight (The antenna polar diagram). In its simplest form, it consists of a loop (with or without a monopole), an array of elements such as Yagi, or a reflective dish with a small horn. By rotating the antenna structure past a signal of interest, the DOA of the signal can be determined from the time history of the signal amplitude relative to the antenna orientation (or pointing angle). The orientation at which the greatest signal strength is received is the DOA. The shape of the sensor antenna characteristic is known, so two or more intercepts of the signal of interest within the main beam are sufficient to determine the orientation that would place the emitter at the antenna foresight. It is possible to achieve very good DOA measurement accuracy if antennas having narrow beams are used. But the physical size of the antenna required will limit this technique to higher radar frequencies, where it is possible to have high gain directional antennas that are not too large. Typical DF accuracies are of the order of 1/10th of the beam width, but the technique is not instantaneous and therefore is associated with a time to intercept which itself is a function of the antenna rotation rate.
Watson – Watt
This technique was developed by Sir Robert Watson-Watt, known for his radar technology developments. The basic principle makes use of three linearly aligned antennas. The centre antenna is the sense antenna and the outer two are spaced approximately a quarter wavelength apart. The sum and difference of the signals from the outer antennas are normalized by the sense antenna and they result in the creation of a cardioid (or heart-shaped) pattern with respect to the angle of signal intercept. By rotating the antenna, the signal of interest can be moved into the null of the beam pattern thus identify its DOA. In order to rotate the cardioid pattern over a range of azimuth angles without physically having to move the antenna, a number of symmetrical pairs of outer antennas are often incorporated, which can then be electronically switched in order to rotate the pattern null and thus measure the signal DOA. This technique is widely used in communication DF systems, offering DOA accuracies of the order of 2 to 3 degrees RMS.
This technique involves the measurement of the relative amplitudes of a signal intercepted by the gain patterns of antennas that are oriented at different angles with respect to the target. Two or more antennas may be used, and the DOA for the signal of interest is calculated from the ratio of the instantaneous amplitudes measured in each antenna beam. This technique is sometimes known as monopulse DF, since the DOA can in theory be calculated from a single pulse from a radar, thus making it suitable for the purpose of rapid self-protection threat warning. (Often a hexagonal or octagonal array is mounted around a mast.)
Frequency Difference of Arrival (FDOA) or Doppler Difference of Arrival
This technique is based on the change in Doppler frequency over time as an emitter moves along a path relative to the sensor. It can also be used where the sensor platform is moving and the signal of interest stationary. In its most basic form, a single platform observes the received frequency. If the emitter moves in a straight line at constant speed, then the rate of change of frequency with time will reach a maximum negative value at the point of closest approach. Moreover, the received frequency at this point is precisely the frequency transmitted by the emitter. In principle, from knowledge of the actual differential Doppler as a function of time, it is possible to deduce the path of the emitter. This technique requires a very accurate and stable reference frequency source and a relatively fast moving emitter or sensor in order to make accurate DoA & PF measurements. This technique can be applied more easily to airborne sensors which may move in a more controlled fashion along pre-determined flight paths relative to the target scenario of interest.However for stationary sensor and target the technique does not work, and for totally ground based scenarios the technique becomes relatively inaccurate
In the case of sensor and target being stationary a further FDOA variant technique can be used which relies on a frequency difference induced into the measurement between signals received in two antennas, one of which is rotating with respect to the other. As one antenna rotates with respect to another a varying Doppler frequency shift is induced between the pair of received signal paths due to the relative path length changing between the moving antenna and the target emitter.The circular motion of the moving antenna results in a sinusoidal Doppler shift relative to the frequency of the signal received in the static antenna. The DOA of the signal of interest is the angle of the moving antenna at which the Doppler shift transitions through zero from positive to negative.In practical systems, the mechanical problems associated with a rotated antenna are overcome by replacing the moving element by a circular array of antenna elements that are switched sequentially into the second receiver path, comparison of the signal phase at adjacent antennas enables the calculation of relative frequency difference. The FDOA technique is widely used for navigation purposes in radio DF systems on civilian ships and aircraft. It offers a typical accuracy of 2 or more degrees RMS.
This is a modern DF technique commonly used in ESM system such as Spectra , Falcon Edge , ALR-94..etc , it utilizes the measurement of signal phase difference between signals received along a linear or circular array of antennas. It is another instantaneous DF measurement technique offering monopulse capability, as was the case in the amplitude comparison method. In the case of a linear array a number of antenna elements (typically 4 or 5) are precisely spaced but at non-uniform intervals along a linear axis to provide phase ambiguity resolution across a sector coverage of up to 90 degrees. Each antenna element requires a separate phase matched or equalised receiver path in order to compare instantaneous phase differences between signal paths across the full azimuth sector. DF is obtained by instantaneously comparing signal phases between all antennas in the array. The direction of arrival information is derived directly from the phase differences among the elements and their known geometrical layout. The basic underlying principle is that the phase differences depend on the different times at which a signal arrives at different antenna elements, and this is a function of the direction of arrival. Interferometers are used when high accuracy DF measurement is important and it is possible to achieve high accuracy of the order (on the order of 0.1 to 1º).Interferometer DF accuracy is determined by the widest baseline pair. Typical cavity-backed spirals, track to 6 electrical degrees, and associated receivers track to 9º, resulting in an rms total of 11º. At a typical 16 dB signal to noise ratio, therms phase noise is approximately 9 electrical degrees. For these errors and an emitter angle of 45º, a spacing of 25 wavelength is required for 0.1º rms accuracy while a spacing of 2.5 wavelength is needed for 1º accuracy. For high accuracy, interferometer spacings of many feet are required. In airborne applications, this usually involves mounting interferometer antennas in the aircraft’s wingtips.A disadvantage of this method is the large number of receiver channels required to achieve full 360º coverage
Short Baseline TDOA.
Sometimes called Differential Time Of Arrival (DTOA) this technique requires extremely accurate time delay measurements related to the leading edge or rise-time of a pulsed signal. This family of systems uses the time difference between a signal arriving at one antenna relative to another antenna as its measure of path difference, whereas an interferometer achieves the same by measuring phase difference. In one single sensor implementation a central antenna element becomes the reference point for comparison of time-of-arrival (ToA) of the signal, with a circular array of antennas equidistant from the reference. Depending on whether the same signal is received earlier, at the same time as, or later than the reference antenna, the relative DOA of the signal can be calculated, the earliest arriving signal at any instant being associated with the direct path to the signal of interest. They use much longer baselines (15-20metres) than interferometers (1 metre) in order to achieve an accuracy of about 1 degree. Short baseline TDOA technique is not practical on CW or Communications signals.
Emitters locating- passive ranging techniques:
Methods such as phase interferometer, short baseline TDOA can give very good angular information of emitters however unless target is within visual range, weapons delivery often cannot be done without information about the distance to targets. Thus, many algorithms and techniques were invented to determine range to target from direction information.
Single ship triangulation
Sensor platform is moving parallel to the signal of interest.Everytime platform moving a certain distance, information about bearing relative to target are stored in computer memory. When the number of required line of bearing is reached, distance to target is measured using trigonometry function
- Require single platform only
- Not enough accuracy for BVR targeting
- Does not work again forward target
- Target have to stay stationary
- Range measurement is not instantaneous
The range measurement is accomplished by determining the intersection of two or more lines of bearing (LOB) from the emitter to multiple assets that have detected it.
- Quick measurement
- Effective again both air and ground emitters
- Highly accurate ( enough for weapon deployment )
- Require at least 2 platforms
- Require asset to share information through datalink. Thus, they cannot stay silent and can be detected by enemy
Azimuth, elevation method
Locate target by intersecting bearing line with vertical elevation line, distance to target is found through trigonometry function
- Only require single aircraft
- Instantaneous target geolocation
- Highly accurate (enough for weapon deployment)
- Does not work again airborne emitters
- Accuracy reduce at low altitude
- Accuracy reduce at extreme distance
Long baseline time difference of arrival
The time difference of arrival (TDOA), or precision emitter location system (PELS) method measures the difference in time of arrival of a single pulse at three spatially remote platform.
- Highly accurate , accuracy improve as distance increase
- Effective again both ground and airborne emitters
- Rapid ,near instantaneous target geolocation
- Very effective again omi directional datalink
- Require minimum of 3 platforms located at a significant distance from each other
- Require platform to share information with each other ( datalinks ), thus they cannot stay passive
- Require high-performance processors
- 3 platform need to receive and analyze exactly same pulse, thus TDOA is ineffective again high gain radar ( thin beam width )
Sensor aircraft performing zigzag maneuver ( minimum of two 90 degrees turn left and right )to create changing in bearing with airborne emitter, the distance to target then being estimated overtime using a Kalman filter based tracking algorithm
- Require single aircraft only
- Work again both ground and airborne emitters
- Can be accurate in specific condition
- Slow target geolocation compares to others methods
- Unless initial guesstimate of target heading and speed is very close to real value ( 0.5-1% errors) , the result isnot accurate enough for BVR targeting
- Require sensor platform to perform maneuvers that will expose it’s beam aspect radar cross section which often has very high value compare to head on aspect
- Require the emitters to move at constant speed, keeping constant heading and altitude otherwise , stimation of range is not possible
- Require emitters to constantly illuminating while sensor platform perform maneuver
RWR – ESM main advantages
- Very long detection range independence of target radar cross section
- Wide coverage, normally 360 degrees all around
- Completely passive thus cannot be detected by adversary’s RWR or ESM
RWR – ESM main disadvantages
- Require enemy to transmit for detection
- Passive ranging is time consuming and requires complex techniques that is often ineffective again airborne target.
- Inaccurate compare to radar and infrared search and track.
while having many advantages over radar , RWR/ESM also have many drawbacks that prevent them from being the main sensor on fighters aircraft
- Adamy, D.A. (2003) EW 101 A first Course in Electronic Warfare, Artech House.
- BAE SYSTEMS – Electronics, Intelligence & Support PO Box 868 NASHUA, NEW HAMPSHIRE – USA 03061-0868
- Moir, I. and Seabridge, A.G. (2001) Aircraft Systems. Professional Engineering Publishing.
- Pallett, E.H.J. (1992) Aircraft Instruments and Integrated Systems, Longmans Group Limited.
- Schleher, C.D. (1999) Electronic Warfare in the Information Age, Artech House.
- Van Brunt, L.B. (1995) Applied ECM, EW Engineering Inc.
- Walton, J.D. (1970) Radome Engineering Handbook, Marcel Dekker.
- Guide to digital interface standards for military avionics applications, Avionics Systems Standardisation Committee, ASSC/110/6/2 issue 2, September 2003.
- Joint Advanced Strike Technology Program, Avionics architecture definition issues/decisions/rationale document, version 1, 8 August 1994.
- A. Doucet, N. Gordon, and V. Krishnamurthy. Particle lters for state estimation of jump Markov linear systems. IEEE Transactions on Signal Processing, 49(3):613-624, 2001.
- N.J. Gordon, D.J. Salmond, and A.F.M. Smith. A novel approach to nonlinear/non-Gaussian Bayesian state estimation. In IEE Proceedings on Radar and Signal Processing, volume 140, pages 107-113, 1993.
- F. Gustafsson. Adaptive Filtering and Change Detection. John Wiley & Sons Ltd, 2000.
- F. Gustafsson, F. Gunnarsson, N. Bergman, U. Forssell, J. Jansson, R. Karlsson, and P-J Nordlund. Particle lters for positioning, navigation and tracking. IEEE Transactions on Signal Processing, Feb 2002. (Feb, 2002).
- A. Holtsberg and J. Holst. Estimation and condence in bearings only tracking. In 25th Asilomar Conference on Signals, Systems and Computers, pages 883-887, 1991.
- A.H. Jazwinski. Stochastic processes and ltering theory, volume 64 of Mathematics in Science and Engineering. Academic Press, 1970.
- T. Kailath, A.H. Sayed, and B. Hassibi. Linear Estimation. Information and System Sciences. Prentice Hall, Upper Saddle River, New Jersey, 2000.
- R. E. Kalman. A new approach to linear ltering and prediction problems. Trans. AMSE, J. Basic Engineering, 1960.
- R. Karlsson. Simulation Based Methods for Target Tracking. Licentiate Thesis no. 930, Department of Electrical Engineering, Link¨oping University, Sweden, Feb 2002.
- R. Karlsson and F. Gustafsson. Range estimation using angle-only target tracking with particle lters. In Proc. of the American Control Conference, volume 5, pages 3743-3748, Arlington, Virginia, USA, June 2001.
- R. Karlsson, T. Sch¨on, and F. Gustafsson. Complexity analysis of the marginalized particle lter. Technical Report LiTH-ISY-R-2611, Department of Electrical Engineering, Link¨oping University, 2004. Submitted to IEEE Tran. on signal processing as correspondance.
- T.R Kronhamn. Bearings-only target motion analysis based on a multihypothesis Kalman lter and adaptive ownship motion control. In IEE Proc. on Radar, Sonar and Navigation, volume 145, pages 247-252, 1998.
- X.R Li and V.P Jilkov. A survey of maneuvering target tracking: Dynamics models. In Proc. of SPIE Conf. on signal and data processing of small targets, apr 2000.
- X.R Li and V.P Jilkov. A survey of maneuvering target tracking part iii:k measurement models. In Proc. of SPIE Conf. on signal and data processing of small targets, jul 2001.
- A. Logothetis, A. Isaksson, and R.J Evans. An information theoretic approach to observer path design for bearings-only tracking. In Proc of the 36th IEEE Conference on Decision and Control, volume 4, pages 3132-3137, 1997.
- A. Logothetis, A. Isaksson, and R.J Evans. Comparison of suboptimal strategies for optimal own-ship maneuvers in bearings-only tracking. In Proc. of American Control Conference, volume 6, pages 3334-3338, 1998.
- P-J. Nordlund. Sequential Monte Carlo Filters and Integrated Navigation. 2002. Thesis No. 945.
- N. Peach. Bearings-only tracking using a set of range-parameterised extended Kalman lters. In IEE Proceedings of Control Theory and Applications, volume 142, pages 73-80, Jan 1995.
- P.N Robinson and M.R Yin. Modied spherical coordinates for radar. In Proc. AIAA Guidance, Navigation and Control Conference, pages 55-64, Aug 1994.
- T. Sch¨on, F. Gustafsson, and P-J. Nordlund. Marginalized particle lters for mixed linear/nonlinear state-space models. Accepted for publication in IEEE Transactions on Signal Processing, 2004.
- M.A. Simard and F. Begin. Central level fusion of radar and IRST contacts and the choice of coordinate system. SPIE, Vol. 472, July 1993.
- D.V. Stallard. An angle-only tracking filter in modified spherical coordinates. In Proc. AIAA Guidance and Navigation and Control Conference, pages 542-550, 1987.