Fast direct position determination algorithm based on arrival time in hybrid channels
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为了实现复杂环境下视距(Line-of-Sigh,LOS)与非视距(Non-Line-of-Sigh,NLOS)同时存在的混合信道中的目标辐射源直接定位(Direct Position Determination,DPD),提出基于到达时间(Time-of-Arrival,TOA)的快速直接定位算法.该算法充分挖掘不同信道信号中的信息参数,采用最小二乘法原理构建代价函数,无需估计定位参数,避免了传统两步定位法所需的NLOS识别与数据关联.引入粒子群(Particle Swarm Optimization,PSO)算法精确估计目标辐射源的位置信息,以降低计算复杂度.将所提定位算法与基于TOA的两步定位法在定位精度方面进行对比,仿真结果表明,所提算法定位精度高于两步定位法,且可以逼近克拉美罗下界(Cramer-Rao Lower Bound,CRLB),能够快速定位混合信道中的目标辐射源.
To achieve direct position determination(DPD)of target radiation sources in hybrid channels with both line-of-sight(LOS)and non-line-of-sight(NLOS)in complex environments,a fast DPD algorithm based on time-of-arrival(TOA)is proposed.It fully exploits the information pa-rameters contained in the signals of different channels,and constructs the cost function using the principle of least squares(LS),which avoids the NLOS identification and data correlation required by the traditional two-step localization method because there is no need to estimate the localization parameters.Meanwhile,the particle swarm optimization(PSO)algorithm is introduced to accurately estimate the location information of the target radiation source,which significantly reduces the com-putational complexity.The proposed localization algorithm is compared with the two-step localiza-tion method based on TOA in terms of localization accuracy.Simulation results show that the pro-posed algorithm has higher localization accuracy than the two-step localization method,and it can approach the Cramer-Rao lower bound(CRLB),so that it can quickly locate the target radiation source in the hybrid channel.
hybrid channelsdirect position determination of target radiation sourcesleast squaresparticle swarm optimizationCramer-Rao lower bound
NETL
NSTL
万方数据
