Estimation of time reversal target DOA over underwater acoustic multipath time-varying channels

Shao, Jianfeng; Zhang, Xiaomin; Liu, Yihai; Yang, Fuzhou

doi:10.1109/chinasip.2014.6889354

Cited by 4 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the underwater scenario, Reference [ 48 ] utilizes PTR to study the DOA estimation performance of a uniform shallow sea target, which proposes a super-directional model based on non-uniform linear array (NLA), establishes the simulation model from the signal detection point of view and uses the conventional beamforming method to achieve the azimuth estimation at low SNR. A PTR target orientation algorithm under Doppler spread is proposed for underwater acoustic multipath time-varying channel in [ 49 ] and the target orientation can be realized accurately by frequency compensation and time reversal processing.…”

Section: Introductionmentioning

confidence: 99%

DOA Estimation for Underwater Target by Active Detection on Virtual Time Reversal Using a Uniform Linear Array

Hai-xia

Wang

Liu

et al. 2018

Sensors

View full text Add to dashboard Cite

Aiming at addressing the problem caused by multipath effects in direction of arrival (DOA) estimation for underwater targets, a method based on the active detection on virtual time reversal (ADVTR) Capon algorithm is proposed. Unlike the conventional passive target estimation method ignoring the multipath effects but only considering the direct wave, the proposed method is closer to the actual situation in that the multipath signal propagation model is fully taken into account; in addition, active detection (AD) and virtual time reversal (VTR) processes are added, which use active detection to estimate channels, and virtual time reversal to realize focusing in a computer after the source-receive array (SRA) receives the reflected signal of the target. The combination of the two methods can greatly improve the energy of SRA and the precision of target direction estimation. With the popular acoustic field simulation tool Bellhop, the model proposed in this paper is verified. Compared with the conventional Capon method without time reversal, the simulation results show that the ADVTR Capon estimation method is far better, in terms of resolution and suppressing the sidelobes. It is suitable for the target DOA estimation under low signal-to-noise ratio (SNR) conditions. Further, we also show the ADVTR Capon estimation method works well in a real tank experiment.

show abstract

Section: Introductionmentioning

confidence: 99%

DOA Estimation for Underwater Target by Active Detection on Virtual Time Reversal Using a Uniform Linear Array

Hai-xia

Wang

Liu

et al. 2018

Sensors

View full text Add to dashboard Cite

show abstract

Parallel Fast DOA Estimation Algorithm Based on SML and Membrane Computing

Bai

Song

Cheng

2021

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Optimization Algorithm for DOA Estimation of a Shallow Sea Target Based on Active Time Reversal

et al. 2018

View full text Add to dashboard Cite

Time reversal technique is applied to the DOA estimation of a shallow sea target, and a method based on active time reversal (ATR) is proposed to achieve correct estimation under multipath and low signal-to-noise (SNR) conditions. Combining the classical ray theory with array signal processing theory, the conventional multipath DOA estimation model based on uniform line array and the ATR-based DOA estimation model are set up respectively. The Capon algorithm is employed to simulate the models and compare it with conventional one. The simulation results show that the ATR-based estimation model can better estimate the azimuth angle of the target than the conventional counterpart, provide higher resolution and better suppress side lobes with the same signal-to-noise ratio (SNR), especially the low SNR.

show abstract

Estimation of time reversal target DOA over underwater acoustic multipath time-varying channels

Cited by 4 publications

References 9 publications

DOA Estimation for Underwater Target by Active Detection on Virtual Time Reversal Using a Uniform Linear Array

DOA Estimation for Underwater Target by Active Detection on Virtual Time Reversal Using a Uniform Linear Array

Parallel Fast DOA Estimation Algorithm Based on SML and Membrane Computing

Optimization Algorithm for DOA Estimation of a Shallow Sea Target Based on Active Time Reversal

Contact Info

Product

Resources

About