Improved Two-Step Weighted Least Squares Algorithm for TDOA-Based Source Localization

Jinyang Chen, Yongsheng Zhao, Chuang Zhao, Yongjun Zhao
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引用次数: 6

Abstract

The two-step weighted least squares (2WLS) is a classic method for time difference of arrival (TDOA) based source localization problem because of its computational efficiency. However, 2WLS method suffers from the sign ambiguity resulting from square root operation in the second WLS step. Although the sign of final solution can be roughly determined according to the estimate in the first WLS step, the localization accuracy will be degraded, since the position estimate in the first WLS step is not accurate enough. In this paper, an improved 2WLS method is proposed to circumvent this problem. The main strategy is to make proper transformation of the constraint relation, and keep only the linear items at the left side of the equation in the second WLS step. Simulation results show that the proposed method has better performance than the classic 2WLS algorithm, especially when the source is close to the reference receiver.
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基于tdoa源定位的改进两步加权最小二乘算法
两步加权最小二乘法(2WLS)由于其计算效率高,是求解到达时间差(TDOA)源定位问题的经典方法。然而,2WLS方法在第二步的平方根运算中存在符号模糊的问题。虽然可以根据第一步WLS的估计大致确定最终解的符号,但由于第一步WLS的位置估计不够精确,会降低定位精度。本文提出了一种改进的2WLS方法来解决这个问题。主要策略是对约束关系进行适当的变换,在第二步WLS中只保留方程左侧的线性项。仿真结果表明,该方法比经典的2WLS算法具有更好的性能,特别是当信源距离参考接收机较近时。
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