Superresolution Elevation Angle Estimation in Multipath Environment Using Passive Bistatic Radar

Pan-he HU, Qian ZHU, Zeng-ping CHEN, Qing-long BAO

Abstract


Passive bistatic radar using uncooperative frequency agile phased array radar as transmitter brings many problems on the elevation angle estimation in the multipath environment, such as low signal-to-noise ratio(SNR), limited snapshots, poor resolution elevation angle estimation of closely spaced coherent signals. To solve that, a superresolution elevation angle estimation method is proposed in this paper. A sparse multipath signal model is reconstructed firstly and then the iterative adaptive approach is adopted to resolve the closely spaced coherent signals as well as obtain the elevation angle estimate. Simulation results confirm the effectiveness of the proposed method, and it still works well in the low SNR with limited snapshots.

Keywords


Passive bistatic radar, Superresolution, Elevation angle estimation, Low signal-to-noise ratio, Limited snapshots, Iterative adaptive approach


DOI
10.12783/dtcse/iece2018/26625

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