Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (12): 3621-3630.doi: 10.12305/j.issn.1001-506X.2022.12.05

• Electronic Technology • Previous Articles     Next Articles

Robust fast adaptive pulse compression method based on linearly constrained minimum variance principle

Jiazheng PEI1, Yong HUANG1,*, Baoxin CHEN2, Jian GUAN1, Xiaolong CHEN1   

  1. 1. Aviation Operations and Service Institute, Naval Aviation University, Yantai 264000, China
    2. Unit 92337 of the PLA, Dalian 116000, China
  • Received:2021-06-23 Online:2022-11-14 Published:2022-11-24
  • Contact: Yong HUANG

Abstract:

The performance of adaptive pulse compression degrades when echo sampling point of the linear frequency modulation (LFM) signals mismatched with the target point in a range cell (namely sampling mismatch). In order to solve the problem, this paper improves the fast adaptive pulse compression (FAPC) method and proposes a new continuous block FAPC (CFAPC) method which is based on linearly constrained minimum variance (LCMV) principle.The method analogizes the adaptive beamforming method to the adaptive pulse compression filtering method, firstly utilizes minimum variance distortion response (MVDR) principle to keep the target's gain and sets the zeroing constraints to widen the width of the energy's notch; then applies another zeroing constraint to block covariance matrix to further suppress the energy of sidelobes and maintain the robustness when sampling mismatch happens. The experiments show that the proposed method can better suppress the range sidelobes of the target and it is more robust when theintra-pulse Doppler shift and sampling mismatch exist simultaneously.

Key words: linear frequency modulation signal, sampling mismatch, adaptive pulse compression, range sidelobes suppression, linearly constrained minimum variance (LCMV)

CLC Number: 

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