Pulse compression degradation due to open loop adaptive cancellation, part 1
Abstract
Performance results for the sidelobe level of a compressed pulse that has been preprocessed through an adaptive canceller are obtained. The adaptive canceller is implemented using the Sampled Matrix Inversion (SMI) algorithm. Because of finite sampling, the quiescent compressed pulse sidelobe levels are degraded because of the preprocessing of the main channel input data stream (the uncompressed pulse) through an adaptive canceller. If N is the number of input canceller channels (main and auxiliaries) and K is the number of independent samples per channel, then it is shown that K/N can be significantly greater than one in order to retain sidelobes that are close to the original quiescent sidelobe level (with no adaptive canceller). Also, it is shown that the maximum level of degradation is independent of whether pulse compression occurs before or after the adaptive canceller if the uncompressed pulse is completely contained within the K samples that are used to calculate the canceller weights. Furthermore, this same analysis can be used to predict the canceller noise power level that is induced by having the desired signal present in the canceller weight calculation.
 Publication:

NASA STI/Recon Technical Report N
 Pub Date:
 July 1991
 Bibcode:
 1991STIN...9211238G
 Keywords:

 Cancellation;
 Data Flow Analysis;
 Preprocessing;
 Pulse Compression;
 Sidelobes;
 Adaptive Filters;
 Algorithms;
 Data Sampling;
 Matrices (Mathematics);
 Noise Intensity;
 Communications and Radar