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  5. The recognition quality effect of speed and aspect angle measurement errors using high range resolution profiles for aerial objects

The recognition quality effect of speed and aspect angle measurement errors using high range resolution profiles for aerial objects

S. Leshchenko
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Description: The effect of speed and aspect angle measurement errors are considered for aerial objects recognition. A high range resolution profile (HRRP) is used as recognition sign. The high resolution range profile can be obtained using probing signals with high signal bandwidth, more than 50 MHz. In surveillance radars speed and aspect angle measurement errors affect the incoherent accumulation of separate high range resolution profiles, and the recognition quality, accordingly. This is due to the fact that range resolution value is less more the distance covered by aerial object during accumulation of reflected pulse packet. In such case in incoherent accumulation it is necessary the matching separate range profiles according to distance using radial speed estimate. The mathematical simulation method is used in study of recognition for 13 types of aerial objects (Bombers: B1B, B-52, TU-16, tactical fighters: F-15, F-16, SU-27, MiG-29, MiG-21, Tornado, passenger airplanes: Boeing 737, Airbus A320, cargo airplane AN-26, helicopter AH-64). Simulated flight of aircraft at cruising speeds. The radar station with chirp waveform is considered. The chirp signal bandwidth was 200 MHz. The signal-to-noise ratio was set by random images in the range of 3 - 27 dB. Speed and aspect angle measurement errors can be source of power loss to a 5 dB. Also, speed and aspect angle measurement errors can distort the shape of cumulative range profile obtained in incoherent accumulation. The distortions can widen the HRRP separate peaks that equal to reducing signal bandwidth. As a result the recognition probability for aerial objects can reduce by 30%, and the amount of recognition information can reduce by 50%.


Keywords: aerial object recognition, recognition quality, high range resolution profile, mathematical modeling, measurement errors, incoherent accumulation

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