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Detection and parameter estimation of air highly maneuvering targets via CPT and RPF

LI Hai1,2, ZHOU Meng1, WU Ren-biao1   

  1. 1. Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China,Tianjin 300300, China; 2. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong 999029
  • Online:2016-05-25 Published:2010-01-03

Abstract:

For the detection and parameter estimation of the air highly maneuvering targets, a new algorithm is proposed, which combines the cubic phase transform (CPT) with the reconstructing phase function (RPF). First, the bilinear transform is used to obtain the phase function matrix of the array signal,which leds to the signal reduction and estimated parameters segregation. Then, by compensating the spatial phase of the phase function matrix based on the array manifold and reconstructing the phase function based on the time phase relevance of the phase function of each array signal, a phase continuous phase function which is rich in sampling pulses is obtained. The proposed method is equivalent to increasing coherent accumulative time of the signal. In the condition of low signal-to-noise and few sampling pulses, this method can achieve good parameter estimation results. Numerical examples are provided to demonstrate the performance of the proposed algorithm.

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