去中心化时差频差直接定位方法
收稿日期: 2016-08-30
修回日期: 2016-12-22
网络出版日期: 2017-01-09
基金资助
国家"973"计划（61
Decentralized direct position determination method based on TDOA and FDOA
Received date: 2016-08-30
Revised date: 2016-12-22
Online published: 2017-01-09
Supported by
National Basic Research Program of China (61**81);National High-tech Research and Development Program of China (2014AA80**086H);the Fundamental Research Funds for the Central Universities (JB140203)
针对原始利用时差频差的直接定位（DPD）方法存在数据传输量和计算量大的瓶颈，提出了两种去中心化直接定位方法。第1种方法采用去中心化配对方案，只将各观测站截获信号在站间进行一次传输，将数据传输和计算分散到各观测站间并行计算互模糊函数（CAF），构造仅满足满秩条件的互模糊矩阵（CAM）。第2种方法根据推导的任意互模糊函数间关系公式，采用归约方式去中心化的在各观测站并行计算余下互模糊函数，补全互模糊矩阵。两种方法都降低了直接定位数据传输量，提高了计算效率。性能分析和仿真实验表明本文两种方法精度性能优于两步定位方法，在低信噪比时两种方法都可达到比较理想的精度性能，在高信噪比时第2种方法与原始直接定位方法的精度性能相当。
朱颖童 , 董春曦 , 董阳阳 , 许锦 , 赵国庆 . 去中心化时差频差直接定位方法[J]. 航空学报, 2017 , 38(5) : 320727 -320727 . DOI: 10.7527/S1000-6893.2016.320727
To overcome the bottleneck of data transmission capacity and computation of the original direct position determination (DPD) method based on TDOA and FDOA, two decentralized DPD methods are proposed. The first proposed method uses the decentralized sensor coupling scheme, in which the signal intercepted by each sensor is transmitted only once and data transmission and computation operations are dispersed to each sensor to compute cross ambiguity function (CAF) in parallel, so as to construct cross ambiguity matrix (CAM) with merely full rank. Based on the derivation of a formula for the relation between arbitrary CAFs, the second method applies a reduction operation to compute the remaining CAFs at each sensor in parallel, and complements all elements of CAM. Two decentralized DPD methods reduce the amount of data transmission and improve the efficiency of computation. Performance analysis and simulation results show that the accuracy of the proposed methods are superior to that of the two-step methods. At low SNR, both of the two proposed methods can achieve desired accuracy, and at high SNR, the second proposed method can obtain the accuracy similar to that of the original DPD method.
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