Range limited adaptive pulse compression via linear Bayes estimation

Abstract

The original adaptive pulse compression (APC) algorithm and its modified version, the Gain-Constraint APC (GCAPC), have the processing window decreasing effect, i.e. the length of the estimating output will decrease by a constant on each iteration stage. As a result, the iteration number is limited by the available input length and the extra computational load is inevitable for large initial processing window. Our analysis indicates that the estimating methods in APC and the GCAPC algorithms are special cases of the linear Bayes estimation. We derive the edge extended APC (EAPC) and GCAPC (EGCAPC) and an iterative linear Bayesian (ILB) algorithms that free from the processing window decreasing effect. We also proposed a modified iterative linear Bayesian (MILB) algorithm based on the Bayes theory and the original iterative algorithm that further improves the estimating performance. The MILB is compared with the EAPC, EGCAPC and ILB via simulations and is shown to be superior.

Fast implementation for modified adaptive multi-pulse compression

“…Consequently, we conclude that FAMPC and MAMPC can significantly reduce the computational complexity in comparison with full-dimension AMPC algorithm. Output: An estimation matrixX; 1: Initialize q = 0, m = 0, l = 0 and range-Doppler plane X (0) using traditional matched filter method; 2: Construct matrix G and F by (6) and (7); 3: …”

“…In [5], the adaptive pulse compression (APC) was proposed, which was shown to successfully suppress the range sidelobes over a variety of *Correspondence: cuiguolong@uestc.edu.cn 1 University of Electronic Science and Technology of China, 2006 Xi Yuan Ave, West Hi-tech Zone, Chengdu, China Full list of author information is available at the end of the article stressing scenarios. Li et al [6] has demonstrated that gain-constraint-APC (GCAPC) [7] has better estimating performance especially for weak targets compared to original APC algorithm [5].…”

A modified adaptive multi-pulse compression algorithm for fast implementation

“…According to [8], the GCAPC algorithm has consistent advantage to the APC in terms to estimation performance of targets with small reflection coefficients. Therefore we implement the MAMPC by applying the GCAPC to process the received signal in range and Doppler dimensions sequentially.…”

“…The MAMPC algorithm processes the two-dimension MMSE cost function by implementing in the range dimension and the Doppler dimension sequentially. In addition, [8] has demonstrated that gain-constraint-APC (GCAPC) [9] has better estimating performance especially for small targets compared to original APC algorithm [10]. Therefore, we implement MAMPC in basic estimating stages by applying the GCAPC instead of the adaptive pulse compression (APC) to alleviate the signal to noise loss.…”