基于虚拟时差的运动阵列空间无源定位算法

周龙健; 罗景青; 孔辉

doi:10.11999/JEIT160860

基于虚拟时差的运动阵列空间无源定位算法

doi: 10.11999/JEIT160860

基金项目:

陕西省自然科学基础研究计划项目(2013JQ8020)

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- 被引次数: 0
出版历程
- 收稿日期: 2016-08-26
- 修回日期: 2016-11-24
- 刊出日期: 2017-07-19

A Passive Location Algorithm Based on the Virtual TDOAs of Moving Array

Funds:

Natural Scientific Fundamental Research Project of Shanxi Province of China (2013JQ8020)

摘要

摘要: 针对脉冲骨架周期固定的雷达脉冲信号辐射源无源定位问题，该文提出一种基于虚拟时差的运动阵列空间无源定位算法，采用运动单阵列接收目标辐射源信号，通过多次测量侦察站不同位置的脉冲到达时间来估计目标辐射源位置。分别针对脉冲骨架周期已知和未知两种情况，提出了一种基于高阶统计量的无源定位算法，并推导了不同情况下定位精度的克拉美罗界。仿真实验表明，不同情况下定位算法定位精度逼近克拉美罗界，且脉冲骨架周期已知时虚拟时差无源定位算法定位精度优于同孔径实阵列TDOA无源定位算法定位精度，脉冲骨架周期未知时虚拟时差无源定位算法定位精度低于同孔径实阵列TDOA无源定位算法定位精度。
- 无源定位 /
- 虚拟时差 /
- 运动阵列 /
- 克拉美罗界 /
- 高阶统计量
Abstract: To solve the problem of passive location for the emitter with fixed Pulse Framework Cycle (PFC), a passive location algorithm based on virtual TDOAs of moving array is proposed. The signal is received by a moving single sensor. The position of emitter is estimated with the multiple measurements of pulse arrival time in different sensor locations. A passive location algorithm based on high-order statistics is proposed for pulse framework cycle known and unknown. The Cramer-Rao Lower Band (CRLB) is derived in the above two cases. The simulation results show that the location accuracy is close to CRLBs in different cases. When pulse framework cycle is known, the location accuracy of virtual TDOAs is better than the real aperture array. When pulse framework cycle is unknown, the location accuracy of virtual TDOAs is slightly lower than the real aperture array.
- Passive location /
- Virtual TDOAs /
- Moving array /
- Cramer-Rao Lower band /
- High-order statistics

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参考文献(19)

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