In this paper, the problem of moving target localization from Bistatic Range(BR) and Bistatic Range Rate(BRR) measurements in a Multiple-Input Multiple-Output(MIMO) radar system having widely separated antennas is inv...In this paper, the problem of moving target localization from Bistatic Range(BR) and Bistatic Range Rate(BRR) measurements in a Multiple-Input Multiple-Output(MIMO) radar system having widely separated antennas is investigated. We consider a practically motivated scenario,where the accurate knowledge of transmitter and receiver locations is not known and only the nominal values are available for processing. With the transmitter and receiver location uncertainties,which are usually neglected in MIMO radar systems by prior studies, taken into account in the measurement model, we develop a novel algebraic solution to reduce the estimation error for moving target localization. The proposed algorithm is based on the pseudolinear set of equations and two-step weighted least squares estimation. The Cramer-Rao Lower Bound(CRLB) is derived in the presence of transmitter and receiver location uncertainties. Theoretical accuracy analysis demonstrates that the proposed solution attains the CRLB, and numerical examples show that the proposed solution achieves significant performance improvement over the existing algorithms.展开更多
直接定位(Direct Position Determination,DPD)算法相比于传统两步定位法,在低信噪比和复杂环境下具备更高定位精度和更强鲁棒性。研究表明加入信号波形信息能够有效提升DPD算法定位精度,但在实际无源定位场景中信号波形往往难以先验已...直接定位(Direct Position Determination,DPD)算法相比于传统两步定位法,在低信噪比和复杂环境下具备更高定位精度和更强鲁棒性。研究表明加入信号波形信息能够有效提升DPD算法定位精度,但在实际无源定位场景中信号波形往往难以先验已知,未知信号波形的DPD算法精度受限。针对这一问题,本文围绕无源定位系统中普遍存在的调制方式已知,但符号信息未知的数字调制信号,提出一种联合波形重构的数字调制信号直接定位(Direct Position Determination for digital Modulation signals,MDPD)方法。该方法依据最大似然准则,基于调制信号成型、接收阵列与辐射源位置几何关系,构建阵列接收信号关于信源符号和位置参数联合估计的代价函数,利用交替迭代降低信号高维搜索给参数联合估计带来的计算复杂度。仿真实验结果验证了联合波形重构的MDPD方法可行性,同时通过与已有两类定位方法的对比实验,得到本文MDPD可以达到更高定位精度,并在信噪比增加时收敛到渐进最优定位精度。展开更多
基金supported by the National Natural Science Foundation of China(No.61703433)
文摘In this paper, the problem of moving target localization from Bistatic Range(BR) and Bistatic Range Rate(BRR) measurements in a Multiple-Input Multiple-Output(MIMO) radar system having widely separated antennas is investigated. We consider a practically motivated scenario,where the accurate knowledge of transmitter and receiver locations is not known and only the nominal values are available for processing. With the transmitter and receiver location uncertainties,which are usually neglected in MIMO radar systems by prior studies, taken into account in the measurement model, we develop a novel algebraic solution to reduce the estimation error for moving target localization. The proposed algorithm is based on the pseudolinear set of equations and two-step weighted least squares estimation. The Cramer-Rao Lower Bound(CRLB) is derived in the presence of transmitter and receiver location uncertainties. Theoretical accuracy analysis demonstrates that the proposed solution attains the CRLB, and numerical examples show that the proposed solution achieves significant performance improvement over the existing algorithms.
文摘直接定位(Direct Position Determination,DPD)算法相比于传统两步定位法,在低信噪比和复杂环境下具备更高定位精度和更强鲁棒性。研究表明加入信号波形信息能够有效提升DPD算法定位精度,但在实际无源定位场景中信号波形往往难以先验已知,未知信号波形的DPD算法精度受限。针对这一问题,本文围绕无源定位系统中普遍存在的调制方式已知,但符号信息未知的数字调制信号,提出一种联合波形重构的数字调制信号直接定位(Direct Position Determination for digital Modulation signals,MDPD)方法。该方法依据最大似然准则,基于调制信号成型、接收阵列与辐射源位置几何关系,构建阵列接收信号关于信源符号和位置参数联合估计的代价函数,利用交替迭代降低信号高维搜索给参数联合估计带来的计算复杂度。仿真实验结果验证了联合波形重构的MDPD方法可行性,同时通过与已有两类定位方法的对比实验,得到本文MDPD可以达到更高定位精度,并在信噪比增加时收敛到渐进最优定位精度。
