分布式协同无源定位中的数据压缩技术  

Data Compression Technology of Distributed Cooperative Passive Location

作　　者：庄智威[1] 詹毅[2] 钱建 

机构地区：[1]杭州电子科技大学通信工程学院,杭州 [2]中国电子科技集团36所,通信信息控制和安全技术重点实验室,嘉兴

出　　处：《无线通信》2014年第6期94-98,共5页Hans Journal of Wireless Communications

摘　　要：分布式协同无源定位技术中,到达时差定位技术(Time Differences of Arrive, TDOA)具有定位精度高、定位速度快、抗干扰能力强的优点。但是,TDOA定位需要不同位置的传感器节点将采样值传送到同一个节点进行时差估计,需要大量的数据传输。为了避免大规模的数据传输,数据压缩技术被应用到定位之中。为了达到较高的压缩比,对信号波形进行矢量量化(Vector Quantization, VQ)。仿真不同维数、不同码书大小对TDOA估计精度的影响。实验证明矢量量化能够取得巨大的压缩比,且不失TDOA估计精度,有效的解决TDOA定位技术的大规模数据传输问题。In data compression technology of distributed cooperative passive location, TDOA has the advan-tages of high positioning accuracy, positioning speed and strong anti-interference ability. But, TDOA location needs different sensors to transmit the received signal to the same sensor to make TDOA estimation, which needs massive data transmission. In order to solve the massive data transmission, data compression is used in location. For getting higher compression ratio, vector quantization is used to deal with the signal. Through simulating the different vector dimension and different codebook size to find what affect the TDOA estimation accuracy. Experiments prove that vector quantization can obtain high compression ratio without loss of the accuracy of TDOA estimation, and solve the problem of massive data transmission in TDOA effectively.

关 键 词：矢量量化 达到时差定位 数据压缩 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]