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基于TDOA和SDOA的宽带辐射源双机无源定位算法
huang qingshun, 邓兵
海军航空大学
摘要:
针对双无人机无源雷达对宽带辐射源目标的直接无源定位(DPD)初始值敏感,本文提出一种基于小生境矢量粒子群(NTVIPSO)的直接无源定位算法,本文的算法是将直接法和间接法结合起来,依靠间接法中尺度差参数构造约束条件,利用小生境矢量粒子群求解得到精确的位置,仿真结果表明本文粒子群算法优于矢量粒子群算法和邻域拓扑结构粒子群算法。提出的存在扰动情况下尺度差约束条件下的直接无源定算法精度低于直接法但优于间接法,而计算复杂度低于直接法但优于间接法
关键词:  时差  尺度差  无源定位  宽带信号  粒子群
DOI:10.11805/TKYDA2020419
分类号:
基金项目:国家自然科学基金面上项目(61571454);泰山学者工程专项经费(ts201712072)资助课题
A passive location algorithm based on TDOA and SDOA for wideband radiation sources
黄清顺, Deng bing
海军航空大学
Abstract:
Aiming at the sensitivity of dual-UAV passive radar to the initial value of direct passive location (DPD) of broadband radiator targets, this paper proposes a direct passive location algorithm based on Niche Vector Particle Swarm (NTVIPSO). The algorithm in this paper is The direct method and the indirect method are combined, relying on the indirect method to construct the constraint conditions by using the niche vector particle swarm to solve the exact position. The simulation results show that the particle swarm algorithm in this paper is superior to the vector particle swarm algorithm and the neighborhood topology particles Group algorithm. The accuracy of the proposed direct passive determination algorithm under the constraint of scale difference in the presence of disturbance is lower than the direct method but better than the indirect method, and the computational complexity is lower than the direct method but better than the indirect met-hod
Key words:  the arrival of time  the arrival of scale  passive location  broadband signal  particle swarm

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