In the environment where various and complicated threat signals exist, RWR (Radar Warning Receiver), which can warn pilot of the existence of threats, has long been a necessary electronic warfare (EW) system to improve survivability of aircraft. The angle of arrival (AOA) information, the most relia...
In the environment where various and complicated threat signals exist, RWR (Radar Warning Receiver), which can warn pilot of the existence of threats, has long been a necessary electronic warfare (EW) system to improve survivability of aircraft. The angle of arrival (AOA) information, the most reliable sorting parameter in the RWR, is measured by means of four-quadrant amplitude comparison direction finding (DF) technique. Each of four antennas (usually spiral antenna) of DF unit covers one of four quadrant zones, with 90 degrees apart with nearby antenna. According to the location of antenna installed in helicopter, RWR is subject to signal loss and interference by helicopter body and structures including tail bumper, rotor blade, and so on, causing a difficulty of detecting hostile emitters. In this paper, the performance degradation caused by signal interference by tail rotor blades has been estimated by measuring amplitude video signals into which RWR converts RF signals in case a part of antenna is screened by real tail rotor blade in anechoic chamber. The results show that corruption of pulse amplitude (PA) is main cause of DF error. We have proposed two algorithms for resolving the interference by tail rotor blades as below: First, expand the AOA group range for pulse grouping at the first signal analysis phase. Second, merge each of pulse trains with the other, that signal parameter except PRI and AOA is similar, after the first signal analysis phase. The presented method makes it possible to use RWR by reducing interference caused by blade screening in case antenna is screened by tail rotor blades.
In the environment where various and complicated threat signals exist, RWR (Radar Warning Receiver), which can warn pilot of the existence of threats, has long been a necessary electronic warfare (EW) system to improve survivability of aircraft. The angle of arrival (AOA) information, the most reliable sorting parameter in the RWR, is measured by means of four-quadrant amplitude comparison direction finding (DF) technique. Each of four antennas (usually spiral antenna) of DF unit covers one of four quadrant zones, with 90 degrees apart with nearby antenna. According to the location of antenna installed in helicopter, RWR is subject to signal loss and interference by helicopter body and structures including tail bumper, rotor blade, and so on, causing a difficulty of detecting hostile emitters. In this paper, the performance degradation caused by signal interference by tail rotor blades has been estimated by measuring amplitude video signals into which RWR converts RF signals in case a part of antenna is screened by real tail rotor blade in anechoic chamber. The results show that corruption of pulse amplitude (PA) is main cause of DF error. We have proposed two algorithms for resolving the interference by tail rotor blades as below: First, expand the AOA group range for pulse grouping at the first signal analysis phase. Second, merge each of pulse trains with the other, that signal parameter except PRI and AOA is similar, after the first signal analysis phase. The presented method makes it possible to use RWR by reducing interference caused by blade screening in case antenna is screened by tail rotor blades.
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제안 방법
And then makes pulses to pulsetrains. In this phase, the processes are performed as PRI(Pulse Repetition Interval) deinterleaving and estimation of the AOA(Angle of Arrival) by calculating PA(Pulse Amplitude) difference of each pulses. The AOA estimation is archived by comparison PA of each antenna.
As a result of this procedure, we can decide the AOA of the signal. After this, compare analyzed pulse-train data as a result of these processes with embedded signal parameter library, and identify the threats which emit the signals.
As result of the test that applied the extended AOA grouping algorithm, all pulses are bound into one group, and analyzed into one threat signal.
In this paper, introduce the signal interference occurred to RWR antenna that installed on rotary-wing aircraft, and the test and measurement of the signal interference using real tail rotor blade of helicopter.
And the algorithm was suggested to resolve the signal interference and its performance was tested. The proposed algorithm can be applied to RWR so as to minimize DF error which is caused by tail rotor blade interference.
후속연구
As further study, it is better to classify the AOA variation pattern and re-calculate the AOA dynamically for enhancement of performance and accuracy of the algorithm.
참고문헌 (2)
Richard G. Wiley, "ELINT:The Interception and Analysis of Radar Signals", ARTECH HOUSE, pp. 281-315
Chen. Victor C, "Radar signatures of rotor blades", Proc. SPIE, Vol. 4391, pp. 63- 70, 2001.
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