基于雷达的导航信息传递技术

doi:10.12305/j.issn.1001-506X.2021.07.24

摘要/Abstract

摘要：

针对小型智能飞行器(miniature intelligent air-vehicle, MIA)低精度微惯导系统的动态初始对准和校准问题, 提出了基于雷达的导航信息传递技术。将雷达及其载体当作一个刚体, 设计了基于雷达的导航信息传递系统; 基于雷达被动测向原理, 提出了测定雷达主瓣波达方向(direction of arrival, DOA)的多重镜像压缩的传播算子(multiple image compression-propagator method, MIC-PM)估计算法。理论与仿真分析表明, 相对于PM算法, MIC-PM算法计算量明显减少, DOA估计时间可达到9.3×10^-3s, 满足MIA导航信息传递的实时性要求; 同时, 在低信噪比情况下的估计精度有所提高。

关键词: 小型智能飞行器, 导航信息传递, 雷达被动测向, 多重镜像压缩的传播算子算法

Abstract:

Aiming at the problem of dynamic initial alignment and calibration for the low precision micro-inertial navigation system of the miniature intelligent air-vehicle (MIA), the navigation information transfer technology based on radar is proposed. The radar and its carrier are regarded as a rigid body and the navigation information transfer system based on radar is designed. Based on the principle of radar passive direction finding, a estimating algorithm which calculates the direction of arrival (DOA) of the radar main lobe is established, which is called as multiple image compression-propagator method (MIC-PM) algorithm. Theory and simulation analysis show that the MIC-PM algorithm can greatly reduce the computation relative to PM algorithm, and the DOA estimating time is 9.3×10^-3s, which satisfies the real-time requirement of the MIA navigation information transfer. At the same time, estimation precision is improved in the case of low signal to noise ratio.

Key words: miniature intelligent air-vehicle (MIA), navigation information transfer, radar passive direction finding, multiple image compression-propagator method (MIC-PM) algorithm

中图分类号:

U666.1

王立冬, 朱进勇, 王品. 基于雷达的导航信息传递技术[J]. 系统工程与电子技术, 2021, 43(7): 1921-1927.

Lidong WANG, Jinyong ZHU, Pin WANG. Navigation information transfer technology based on radar[J]. Systems Engineering and Electronics, 2021, 43(7): 1921-1927.

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算法	PM	MIC-PM
R运算量	O(M²K)^[27]	O(M²K)
正交化	O((M-N)N²)^[28-29]	O((M-N)²)
特征值分解	0	O((M-ηN)²)(ηN+2)^[30]
遍历计算	O(J(M-N)(M+1))	$ O\left(\frac{1}{\eta} J(M-\eta N)(M+1)\right)$

算法	信噪比/dB
算法	-15	-10	-5	0	5	10	15
PM	0.022 8	0.022 9	0.023 4	0.022 7	0.023 2	0.023 2	0.023 3
MIC-PM(η=4)	0.009 3	0.009 2	0.009 3	0.008 9	0.009 8	0.009 1	0.009 6
MIC-PM(η=5)	0.008 6	0.008 2	0.009 0	0.008 3	0.008 9	0.008 2	0.009 2
MIC-PM(η=6)	0.007 1	0.006 9	0.007 3	0.008 1	0.006 9	0.007 4	0.007 5

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