中文摘要：

针对信道退化的多跳无线传感器网络下的定位问题，基于最大似然估计提出一种新的信道容错的定位算法．传感器节点接收到的源信号强度数据被压缩量化为二元信号，经Rayleigh退化信道多跳中继到达融合中心．利用信道退化统计量和译码策略，推导出二元观测数据的似然函数，基于最大似然估计获得目标定位，进一步给出目标位置估计的克拉美．罗下界．仿真结果表明了所提出算法的有效性．

英文摘要：

A novel channel fault-tolerant localization algorithm based on maximum-likelihood estimation is proposed for localization in a multi-hop wireless sensor networks with channel fading. The received measurement of source signal energy from local sensors is compressed and quantized into binary data and transmitted to the fusion center via multi-hop Rayleigh fading channels. The likelihood function of binary observation is derived by using wireless channel statistics and decoding scheme. The localization of target is achieved by maximum-likelihood estimation. Furthermore, the Cramer-Rao lower bounds for the estimates are derived. Simulation results show the effectiveness of the proposed algorithm.