TY - JOUR

T1 - Adaptive detection of multiple point-like targets under conic constraints

AU - Hao, C.

AU - Bandiera, F.

AU - Yang, J.

AU - Orlando, D.

AU - Yan, S.

AU - Hou, C.

PY - 2012

Y1 - 2012

N2 - This paper addresses the problem of detecting multiple point-like targets in the presence of steering vector mismatches and Gaussian disturbance with unknown covariance matrix. To this end, we first model the actual useful signal as a vector belonging to a proper cone whose axis coincides with the whitened direction of the nominal array response. Then we develop two robust adaptive detectors resorting to the two-step GLRT-based design procedure without assignment of a distinct set of secondary data. The performance assessment has been conducted by Monte Carlo simulation, also in comparison to previously proposed detectors, and confirms the effectiveness of the newly proposed ones. In the last part of the work, in order to restore the detection performance of the newly proposed detectors in the presence of a large number of range cells contaminated by useful signals, we consider two adaptive detectors which resort to the structure information of the disturbance covariance matrix, and show that the a-priori information on the covariance structure can lead to a noticeable performance improvement.

AB - This paper addresses the problem of detecting multiple point-like targets in the presence of steering vector mismatches and Gaussian disturbance with unknown covariance matrix. To this end, we first model the actual useful signal as a vector belonging to a proper cone whose axis coincides with the whitened direction of the nominal array response. Then we develop two robust adaptive detectors resorting to the two-step GLRT-based design procedure without assignment of a distinct set of secondary data. The performance assessment has been conducted by Monte Carlo simulation, also in comparison to previously proposed detectors, and confirms the effectiveness of the newly proposed ones. In the last part of the work, in order to restore the detection performance of the newly proposed detectors in the presence of a large number of range cells contaminated by useful signals, we consider two adaptive detectors which resort to the structure information of the disturbance covariance matrix, and show that the a-priori information on the covariance structure can lead to a noticeable performance improvement.

UR - http://www.scopus.com/inward/record.url?scp=84866619268&partnerID=8YFLogxK

U2 - 10.2528/PIER12040208

DO - 10.2528/PIER12040208

M3 - Journal article

AN - SCOPUS:84866619268

VL - 129

SP - 231

EP - 250

JO - Progress in Electromagnetics Research

JF - Progress in Electromagnetics Research

SN - 1070-4698

ER -