Multiple Moving Targets Detection and Parameters Estimation in Strong Reverberation Environments

Abstract

This paper considers the problem of multiple moving targets detection and parameters estimation (direction of arrival and range) in strong reverberation environments. As reverberation has a strong correlation with target echo, the performance of target detection and parameters estimation is significantly degraded in practical underwater environments. In this paper, we utilize two uniform circular arrays to receive plane wave of the linear frequency modulation signal reflected from far-field targets. On the basis of received signal, we build a variance matrix of multiple beams by using modal decomposition, conventional beamforming, and fractional Fourier transform (FrFT). We then propose a novel detection method and an estimation method of parameters based on the constructed image. A significant feature of the proposed methods is that our design does not involve any a priori knowledge about targets number and parameters of marine environments. Finally, we demonstrate via numerical simulation examples that the detection probability and the accuracy of estimated parameters of the proposed method are higher than the existing methods in both low signal-to-reverberation ratio and signal-to-noise ratio environment.

Application of a Randomized Algorithm for Extracting a Shallow Low-Rank Structure in Low-Frequency Reverberation

“…The bistatic seabed reverberation in shallow water can be deduced from Equations ( 4) and (5). We define the circular similarity ρ(θ) as…”

“…To address these challenges, researchers have developed reverberation suppression and signal separation technologies. However, as seabed reverberation and transmitted signals are inseparable in the Fourier domain, processing methods in the wavelet domain [4] and fractional Fourier domain [5][6][7] have become increasingly significant. To enhance data quality, singular value decomposition (SVD) [8] and mode decomposition (MD) [9][10][11][12][13][14] techniques can be implemented at different stages of processing.…”

Fuzzy-based MTD

“…Literature survey designed Hybrid coherent/non-coherent integration technique that offered better performance in case of multiple targets, but it needed huge dwell time. Yu and Piao (2016) designed a detection method that assured better detection probabilities and accuracies. The demerit of the method was regarding the detection and estimation of the motion parameters available in the reverberation environment.…”