基于TDOA与GROA的信号源被动定位偏差消除技术

发布时间：2018-03-09 19:04

本文选题：信号源定位　切入点：到达时间差　出处：《电子学报》2014年03期 　论文类型：期刊论文

【摘要】：本文针对Ho提出的基于TDOA(Time Difference of Arrival)与GROA(Gain Ratio of Arrival)信号源定位的代数闭式解,提出两种偏差消减方法.首先对其闭式解偏差进行了推导,然后给出BiasRed法与BiasSub法两种偏差消减算法,BiasSub法从Ho给出的解中直接减去期望偏差,BiasRed法通过分析误差表达方程并引入二次约束来提升定位估计精度;分析表明两种方法均可针对远距离信号源,在较小高斯误差情况下有效消减定位偏差,BiasRed法可将偏差降低到最大似然估计算法的水平;计算机仿真分析验证了所提算法的性能.
[Abstract]:In this paper, two methods of error reduction are proposed for Ho's algebraic closed solution of signal source location based on TDOA(Time Difference of Arrival and GROA(Gain Ratio of Arrival.Firstly, the deviation of closed solution is derived. Then, two kinds of deviation reduction algorithms, BiasRed method and BiasSub method, are given to subtract the expected deviation directly from the solution given by Ho. By analyzing the equation of error expression and introducing quadratic constraints to improve the accuracy of location estimation, the method of BiasSub subtracts the expected deviation directly from the solution given by Ho. The analysis shows that both methods can be applied to the remote signal source, and the BiasRed method can reduce the deviation to the level of the maximum likelihood estimation algorithm under the condition of small Gao Si error, and the performance of the proposed algorithm is verified by computer simulation.
【作者单位】：西安电子科技大学ISN国家重点实验室;
【基金】：国家自然科学基金(No.61072070) 教育部博士学科点基金(No.20110203110011) 教育部基础科研业务费(No.72124338) ISN国家重点实验室自主课题(No.ISN1101002) 高等学校学科创新引智计划(No.B08038) 陕西省自然科学基金重点项目(No.2012JZ8002)
【分类号】：TN911.7

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