基于多天线信号合成的优化到达时间差定位算法

Optimal the time difference of arrival location algorithm localization algorithm based on multi-antenna signal combining

分布式探测系统中当接收信号信噪比较低时,基于信号到达各接收天线延时差(TDOA)的定位法精度直接被延时差测量精度所制约。为解决这一问题,提出了基于多天线信号合成的优化TDOA定位算法,利用多路合成后的信号来精确获得各路信号延时差。仿真结果表明优化定位算法相较传统高斯牛顿迭代法在低信噪比情形下可将定位误差减小一个数量级。进一步搭建光纤稳时传输系统,实验结果显示,在信噪比为1.1dB时,优化算法定位精度可达到1.6m,比传统算法的定位误差降低了86.8%。算法将极大地扩展TDOA定位法的适用范围。

In a distributed detection system, the positioning accuracy of the time difference of arrival(TDOA) method is directly restricted by the measurement accuracy of delay difference when the SNR of received signals is low. Here, an optimized TDOA localization algorithm is proposed based on multi-antenna signal combining. The combined signal is used to accurately calculate the delay difference between every two signals. Simulation results show that the proposed algorithm can reduce the positioning error by one order of magnitude compared with the traditional Gauss-Newton iterative method in the case of low SNR. A stable distributed optical fiber link is established, and further experimental results show that the positioning accuracy of the proposed algorithm can reach 1.6 meters when the SNR is 1.1 dB, and the positioning error is reduced by 86.8% compared with the traditional algorithm. The proposed algorithm will greatly expand the application scope of the TDOA localization method.