Abstract

Time difference of arrival (TDOA) localization does not require time stamping of the source signal and is playing an increasingly important role in passive location. In addition to measurement noise, receiver position errors and synchronization clock bias are two important factors affecting the performance of TDOA positioning. This paper proposes a bias-reduced solution for passive source localization using TDOA measurements in the presence of receiver position errors and synchronization clock bias. Like the original two-step weighted least-squares solution, the new technique has two stages. In the first stage, the proposed method expands the parameter space in the weighted least-squares (WLS) formulation and imposes a quadratic constraint to suppress the bias. In the second stage, an effective WLS estimator is given to reduce the bias generated by nonlinear operations. With the aid of second-order error analysis, theoretical biases for the original solution and proposed bias-reduced solution are derived, and it is proved that the proposed bias-reduced method can achieve the Cramér–Rao lower bound performance under moderate Gaussian noise, while having smaller bias than the original algorithm. Simulation results exhibit smaller estimation bias and better robustness for all estimates, including those of the source position, refined receiver positions, and clock bias vector, when the measurement noise or receiver position error increases.

Highlights

  • The problem of passive localization has in recent decades been of wide concern and studied intensely by scholars in many fields, such as passive radar [1,2,3], wireless communication [4,5,6], sensor networks [7, 8], and underwater acoustics [9, 10]

  • Inspired by previous works [38,39,40,41,42,43,44,45], this paper proposes a bias-reduced method of reducing the bias of estimates from [36] using time difference of arrival (TDOA) in the presence of receiver position errors and synchronization clock bias

  • We find that the computational complexity of the proposed bias-reduced method is comparable to that of the original two-step weighted least-squares (TSWLS) algorithm

Read more

Summary

Introduction

The problem of passive localization has in recent decades been of wide concern and studied intensely by scholars in many fields, such as passive radar [1,2,3], wireless communication [4,5,6], sensor networks [7, 8], and underwater acoustics [9, 10]. A joint synchronization and source localization algorithm with erroneous receiver positions has been proposed [35], where the clock bias is assumed to be known with random errors, whereas such prior information with respect to synchronization clock bias is not available in practice To overcome this drawback, a novel closed-form solution method, in which the clock bias is considered a deterministic parameter, has been developed and the algebraic solutions of the source location, receiver positions, and synchronization offsets were sequentially obtained [36]. Inspired by previous works [38,39,40,41,42,43,44,45], this paper proposes a bias-reduced method of reducing the bias of estimates from [36] using TDOAs in the presence of receiver position errors and synchronization clock bias.

Measurement model and original TSWLS method
Original TSWLS method
Stage 1
B1AQ1ATB1 þ
Simulation results and discussion
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call