Modified Adaptive Pulse Compression Algorithm for Targets with Range-Straddling

Chen Ning, Jing Tian*, Kun Li, Siliang Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Adaptive pulse compression (APC) has been proposed based on the minimum mean square error (MMSE) criterion to effectively suppress range sidelobes of strong targets and retrieve all targets in multi-target scenarios. However, MMSE-based algorithms suffer from deteriorated performance in the presence of targets with range-straddling due to modelling mismatch. This degradation can be partially compensated by modified MMSE-based algorithms. To further suppress sidelobes when range straddling occurs, we propose a modified APC algorithm robust to targets with range-straddling, namely range-straddling-robust APC (RSR-APC). We first establish the signal model for targets with range-straddling and then derive the expressions of the MMSE filter based on matched filter outputs and the range-straddling offsets based on an improved Rife algorithm. Simulation results show that the proposed algorithm can suppress sidelobes of targets with range-straddling and improve estimation accuracy of target positions in different scenarios.

Original languageEnglish
Pages (from-to)3057-3070
Number of pages14
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume57
Issue number5
DOIs
Publication statusPublished - 1 Oct 2021

Keywords

  • Adaptive pulse compression (APC)
  • minimum mean square error
  • range straddling
  • sidelobe suppression

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