基于单快拍空间平滑的多伯努利DOA跟踪算法

doi:10.12305/j.issn.1001-506X.2021.09.08

Abstract

Abstract:

Aiming at the problem of multisource time-varying direction of arrival (DOA) tracking in the case of single snapshot in array signal processing, a multi-Bernoulli filter DOA tracking algorithm based on single snapshot spatial smoothing is proposed. Firstly, the Bernoulli random finite set (RFS) is employed to characterize the randomness of the state process, and a single snapshot measurement is acquired directly from the sensor array. Then, the space smoothing technology is used to preprocess the single snapshot measurement. According to the data of after the smooth pseudo covariance matrix is constructed and singular value decomposition. Finally, the multiple signal classification (MUSIC) spectrum function is generated as a pseudo-likelihood function for multi-Bernoulli recursive DOA tracking. The simulation results show that the algorithm can effectively track the DOA state of time-varying sources in real-time and accurately estimate the number of sources.

Key words: direction of arrival (DOA) tracking, multi-Bernoulli filter, spatial smoothing, pseudo-likelihood function

CLC Number:

TN911.7

Sunyong WU, Baohong ZOU, Qiutiao XUE, Xiyan SUN, Li WANG. DOA tracking algorithm based on single snapshot spatial smoothing with multi-Bernoulli[J]. Systems Engineering and Electronics, 2021, 43(9): 2430-2438.

Figures/Tables 9

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目标	目标轨迹情况
目标	出生位置	出生时间/s	死亡时间/s
目标1	[50，-0.5]	1	45
目标2	[5, 0]	5	25
目标3	[15, 1]	10	40
目标4	[-30，0.8]	35	50
目标5	[-10，-0.2]	5	20
目标6	[20，-0.5]	30	50

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DOA tracking algorithm based on single snapshot spatial smoothing with multi-Bernoulli

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