TDOA/FDOA joint estimation in a correlated noise environment

被引：0
作者：
Yao, GX [1 ]
Liu, ZW [1 ]
Xu, YG [1 ]
机构：
[1] Beijing Inst Technol, Dept Elect Engn, Beijing 100081, Peoples R China
来源：
IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications Proceedings, Vols 1 and 2 | 2005年
关键词：
time difference of arrival (TDOA); frequency difference of arrival (FDOA); correlated noise; second order statistics (SOS); higher order statistics (HOS);
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Three typical algorithms for joint estimation of time difference of arrival (TDOA) and frequency difference of arrival (FDOA), including complex ambiguity function method based on the second-order-statistics (CAF-SOS), complex ambiguity function method based on higher-order-statistics (CAF-HOS), and a two-step algorithm based on moment calculations are reviewed, after which two new methods are introduced for correlated noise cancellation via cumulant manipulations. One is a pure HOS-based method while the other is a SOS/HOS integrated method. Both of these two algorithms estimate the TDOA/FDOA in a separate manner, which are superior to the conventional complex ambiguity method for lower computational burden. They also excel the moment method in insensitivity to the spatially correlated noise. Simulation results are given to validate the behavior of the proposed methods.
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页码：835 / 838
页数：4
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