LAUSR

Owing to the strong reverberation and various obstacle echoes interference in harbor scenes, the active detection performance of tracking methods for weak targets will be seriously reduced. Moreover, the conventional dereverberation and tracking methods generally cannot effectively separate the weak target under the overlapping echoes of multiple scattering sources. Focusing on solving the above problems, the correlation residual cumulative clustering (CRCC) algorithm is proposed to extract scattering features of weak target motion. There are two innovations in this letter: First, the complex cepstrum filter is improved to suppress strong reverberation. Second, the correlation residual accumulation of adjacent frames is extracted to detect the reduction matrix containing the target trajectory. Finally, the fuzzy C-means (FCM) objective function is optimized via spatial–temporal constraint, thus the weak target can be effectively separated from the overlapping giant interference. The experimental results indicate the strong antijamming, low detection loss, and short-term accumulation of our proposed model, which are remarkably superior to the traditional posterior probability models.