Distributed Radar Target Tracking with Low Communication Cost|Rui Zhang;Xinyu Zhang;Shenghua Zhou;Xiaojun Peng|Xi'an Electronic Engineering Research Institute,Xi'an 710100,China - 期刊导航|首站-论文投稿智能助手|论文发表|论文智能投稿|期刊自助发表推荐|杂志社快速发表|查同导刊-域田数据官方网站

典型文献

Distributed Radar Target Tracking with Low Communication Cost

文献摘要：

In distributed radar, most of existing radar networks operate in the tracking fusion mode which combines radar target tracks for a higher positioning accuracy. However, as the filtering covariance matrix indicating positioning accuracy often occupies many bits, the communication cost from local sensors to the fusion is not always sufficiently low for some wireless communication chan-nels. This paper studies how to compress data for distributed tracking fusion algorithms. Based on the K-singular value decomposition (K-SVD) algorithm, a sparse coding algorithm is presented to sparsely represent the filtering covariance matrix. Then the least square quantization (LSQ) algo-rithm is used to quantize the data according to the statistical characteristics of the sparse coeffi-cients. Quantized results are then coded with an arithmetic coding method which can further com-press data. Numerical results indicate that this tracking data compression algorithm drops the com-munication bandwidth to 4％at the cost of a 16％root mean squared error (RMSE) loss.

文献关键词：

中图分类号：

[1] 自动化技术、计算机技术（TP） / 计算技术、计算机技术（TP3） / 计算机的应用（TP39） / 信息处理(信息加工)（TP391）

[2] 数理科学和化学（O） / 力学（O3） / 振动理论（O32） / 非线性振动（O322）

[3] 医药、卫生（R） / 临床医学（R4） / 治疗学（R45） / 生物疗法（R456）

作者姓名：

Rui Zhang;Xinyu Zhang;Shenghua Zhou;Xiaojun Peng

作者机构：

National Laboratory of Radar Signal Process-ing Xidian University,Xi'an 710071,China;Xi'an Electronic Engineering Research Institute,Xi'an 710100,China

文献出处：

北京理工大学学报（英文版）

引用格式：

[1]Rui Zhang;Xinyu Zhang;Shenghua Zhou;Xiaojun Peng-.Distributed Radar Target Tracking with Low Communication Cost)[J].北京理工大学学报（英文版）,2022(06):595-604

A类：

quantize

B类：

Distributed,Radar,Target,Tracking,Low,Communication,Cost,In,distributed,radar,most,existing,networks,operate,tracking,fusion,mode,which,combines,target,tracks,higher,positioning,accuracy,However,filtering,covariance,matrix,indicating,often,occupies,many,bits,communication,cost,from,local,sensors,not,always,sufficiently,low,some,wireless,chan,nels,This,paper,studies,how,data,algorithms,Based,singular,value,decomposition,SVD,coding,presented,sparsely,represent,Then,least,quantization,LSQ,used,according,statistical,characteristics,coeffi,cients,Quantized,results,then,coded,arithmetic,method,can,further,Numerical,indicate,that,this,compression,drops,bandwidth,root,mean,squared,error,RMSE,loss

AB值：

0.635598

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