Joint Synchronization and Localization Using TOAs: A Linearization Based WLS Solution
Joint Synchronization and Localization Using TOAs: A Linearization Based WLS Solution
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DOI：
10.1109/jsac.2010.100906
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发表时间：
2010-09-01
影响因子：
16.4
通讯作者：
Ding, Zhiguo
中科院分区：
文献类型：
--
作者：
Zhu, Shouhong;Ding, Zhiguo
基于到达时间(TOA)测量的联合同步和定位是无线自组网应用中的一个非常重要的研究课题。对于这种基于TOA的联合同步和定位，最小二乘(LS)准则及其相应的解被证明具有最优的估计性能，但通常具有很高的计算复杂度。鉴于最小二乘解的重要性和难度，本文考虑了如何在较低的计算复杂度下逼近最小二乘解的估计性能的问题：我们提出了一种低复杂度的算法，该算法基于TOA测量的线性化方程，并在计算上有效地应用了加权最小二乘(WLS)准则来接近最小二乘解的估计性能；通过对其估计性能的分析和仿真，我们明显地证明了所提出的算法在估计性能和计算复杂度之间的优越折衷。该算法也适用于TOA基站联合定时定位的类似应用领域。
Joint synchronization and localization using time of arrival (TOA) measurements is a very important research topic for many wireless ad hoc sensor network applications. For such TOA based joint synchronization and localization, the least square (LS) criterion and its corresponding solution have been shown to exhibit optimum estimation performance but generally at a very high computational complexity. Due to its importance and difficulty, in this paper we consider the issue how to approach the estimation performance of such LS solution at low computational complexity: We propose a low-complexity algorithm, which is based on the linearized equations from TOA measurements and applies a weighted least square (WLS) criterion in a computationally efficient way to closely approach the LS solution in estimation performance; Via analyzing and simulating its estimation performance we evidently demonstrate the proposed algorithm of its superior trade-off between estimation performance and computational complexity. The proposed algorithm is also applicable to similar application areas involving TOA base joint timing and positioning.