Parametric detector for subspace‐based distributed target detection in the presence of signal mismatch

Abstract

In this letter, the authors investigate the problem of subspace-based distributed target detection when signal mismatch arises. To solve the problem, a simple and effective detector is introduced, which is parameterised by a non-negative scalar. By adjusting the scalar, the proposed detector can flexibly change its detection properties for mismatched signals. In particular, the proposed detector with a small scalar is robust to signal mismatch, while the detector with a large scalar is selective. Moreover, the proposed detector with an appropriate scalar can provide higher probability of detection than the existing detectors in the absence of signal mismatch. Both simulated and real data confirm the effectiveness of the proposed detector.

Number of targets detection method with FCM‐based granulation–degranulation mechanism

“…In the field of array signal processing, most of the parametric detection methods (e.g. the well-known high-resolution subspace-based methods) need a precondition of the number of target signals impinging on the antenna array [1][2][3]. It is generally known that the performance of parameter detection highly depends on the accurate determination of the number of target signals [4].…”