能时频域信息融合的信源被动定位

doi:10.19665/j.issn1001-2400.2021.06.013

Abstract

Abstract:

With the increasing complexity of wireless communication environment,it is difficult to meet the requirement of the high-precision source positioning based on single domain information (such as energy domain,time domain,frequency domain,airspace domain,etc.).In order to solve the problem of the deterioration of source localization performance in the non-line-of-sight environment,this paper proposes a passive source location technology with energy-time-frequency domain information fusion,and utilizes the iterative method of non-line-of-sight error feedback to obtain the high precision location of the source target.Source localization in a reasonable complex environmental scenario is conducted and a thorough analysis of the three-domain localization parameter model is made.The non line-of-sight error in each domain is taken as unknown to construct the multiple domain information joint localization equation.Based on the analysis of the three-domain joint maximum likelihood equation used in the process of solving the non-line-of-sight error statistic replacement,the reasonable simplified equation is completed.The distance square and weighted least squares are introduced to transform the non-convex problem into a generalized trust region subproblem.Without the prior information on the non-line-of-sight parameters,the initial estimation of the source position and velocity parameters as well as the non-line-of-sight error can be obtained simultaneously by the dichotomy method.In order to ensure the location accuracy in a complex environment,the iterative method is used to improve the estimation accuracy of the source location parameters by taking the non-line-of-view deviation as feedback.The effectiveness and reliability of the proposed algorithm are verified by computer simulation.

Key words: non-line-of-sight, information fusion, time difference of arrival, generalized trust domain sub-problem

CLC Number:

TN911.23

WAN Pengwu,YAO Yuanyuan,YAN Qianli,CHEN Yufei. Passive localization based on energy-time-frequency information fusion[J].Journal of Xidian University, 2021, 48(6): 105-114.

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Passive localization based on energy-time-frequency information fusion

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