• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Time-Delay Estimation in the Multi-Path Channel based on Maximum Likelihood Criterion


Abstract

To locate an object accurately in the wireless sensor networks, the distance measure based on time-delay plays an important role. In this paper, we propose a maximum likelihood (ML) time-delay estimation algorithm in multi-path wireless propagation channel. We get the joint probability density function after sampling the frequency domain response of the multi-path channel, which could be obtained by the vector network analyzer. Based on the ML criterion, the time-delay values of different paths are estimated. Considering the ML function is non-linear with respect to the multi-path time-delays, we first obtain the coarse values of different paths using the subspace fitting algorithm, then take them as an initial point, and finally get the ML time-delay estimation values with the pattern searching optimization method. The simulation results show that although the ML estimation variance could not reach the Cramer-Rao lower bounds (CRLB), its performance is superior to that of subspace fitting algorithm, and could be seen as a fine algorithm.


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Cite this article

[IEEE Style]
Shengdong Xie, Aiqun Hu and Yi Huang, "Time-Delay Estimation in the Multi-Path Channel based on Maximum Likelihood Criterion," KSII Transactions on Internet and Information Systems, vol. 6, no. 4, pp. 1063-1075, 2012. DOI: 10.3837/tiis.2012.04.006

[ACM Style]
Xie, S., Hu, A., and Huang, Y. 2012. Time-Delay Estimation in the Multi-Path Channel based on Maximum Likelihood Criterion. KSII Transactions on Internet and Information Systems, 6, 4, (2012), 1063-1075. DOI: 10.3837/tiis.2012.04.006