Title :
Fast adaptive pulse compression based on matched filter outputs
Author :
Zhengzheng Li ; Yan Zhang ; Shang Wang ; Lihua Li ; Mclinden, Matthew
Author_Institution :
Adv. Radar Res. Center Norman, Norman, OK, USA
Abstract :
An adaptive pulse compression (APC) algorithm is developed, based on the concept of minimum mean square error (MMSE), that utilizes matched filter (MF) output as its input and is termed Matched-Filter-Reiterative-MMSE (MF-RMMSE). MF-RMMSE allows the use of a smaller processing window than traditional reiterative-MMSE (RMMSE) but achieves identical performance at side-lobe suppression, and thus the computational load is reduced. MF-RMMSE also facilitates the implementation of APC to current radar sensors, since the existing MF implementations can be untouched. The derivation of MF-RMMSE is provided in detail, and its performance is validated through both simulations and actual airborne radar measurements for "mixed-target" observations, which includes both hard targets and distributed weather targets.
Keywords :
airborne radar; data compression; iterative methods; least mean squares methods; matched filters; radar signal processing; MF-RMMSE; airborne radar measurements; computational load reduction; distributed weather targets; fast adaptive pulse compression aglorithm; hard targets; identical performance; matched filter outputs; matched-filter-reiterative-MMSE; minimum mean square error; mixed-target observations; processing window; radar sensors; side-lobe suppression; Correlation; Doppler effect; Impedance matching; Radar; Signal to noise ratio; Vectors;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2014.130544