Adaptive signal processing in non-Gaussian noise backgrounds

被引：10

作者：

Rangaswamy, M ^{[1
]}

Michels, JH ^{[1
]}

机构：

[1] ARCON Corp, Waltham, MA 02154 USA

来源：

NINTH IEEE SIGNAL PROCESSING WORKSHOP ON STATISTICAL SIGNAL AND ARRAY PROCESSING, PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/SSAP.1998.739332

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper discusses the problem of adaptive radar target detection in non-Gaussian noise backgrounds which can be modeled as a spherically invariant random process (SIRP). The estimated covariance matrix is used in an adaptive processing method for signal detection. It is shown that the resulting processor is equivalent to a generalized estimator correlator. Performance analysis is presented in terms of probability of detection versus signal-to-noise-ratio (SNR) for the case of a K-distributed SIRP. Performance comparison of our technique with that of the adaptive matched filter (AMF) of [1] is presented. The method developed in this paper affords considerable performance improvement in non-Gaussian noise backgrounds.

引用

页码：53 / 56

页数：4