卫星与雷达位置数据自适应关联

doi:10.3969/j.issn.1001-506X.2021.01.12

Abstract

Abstract:

The data association between satellite and radar can realize the transition from large-scale early warning to fine tracking in the process of the early warning detection. However, the traditional association model has a slow association speed and is difficult to deal with the non-rigid transformation, false alarm and missing detection of ship formation targets. In this regard, an adaptive association model is presented for satellite and radar position data. Firstly, the multi-layer network (MLN) is used to extract the global difference parameters of the satellite data and the radar data. Then, in order to solve the spatial position error caused by time interval and positioning error, the parameters are put into the network of displacement transformation estimation to match the targets from the two types of sources. Finally, an association judgment is accomplished for the matched targets. Simulation and experimental results show that the proposed model achieves good performance both on speed and accuracy, and can handle the large-scale multi-source data association in real-time application. Besides, the model has good robustness under the conditions of non-rigid transformation, positioning error, false alarm and missing detection.

Key words: multi-source data association, ship formation target, neural network, adaptive model, spatial position error

CLC Number:

Zhenyu XIONG, Yaqi CUI, Wei XIONG, Xiangqi GU. Adaptive association for satellite and radar position data[J]. Systems Engineering and Electronics, 2021, 43(1): 91-98.

Figures/Tables 11

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References 21

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网络层	输入尺寸	网络参数	输出尺寸
MLN-1	M×N×2	1×1×16	M×N×16
MLN-2	M×N×16	1×1×64	M×N×64
MLN-3	M×N×64	1×1×128	M×N×128
MLN-4	M×N×128	1×1×256	M×N×256
MLN-5	M×N×256	1×1×512	M×N×512
Maxpool	M×N×512	1×N×1	M×1×512

网络层	输入尺寸	网络参数	输出尺寸
MLN-6	M×N×512	1×1×256	M×N×256
MLN-7	M×N×256	1×1×128	M×N×128
MLN-8	M×N×128	1×1×2	M×N×2

方法	平均关联准确率	关联时间
GMM算法(训练)	0.671 7	约32 h
本文算法(训练)	0.846 6	约6 min
GMM算法(测试)	0.663 2	约32 h
本文算法(测试)	0.841 3	约8 s

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Adaptive association for satellite and radar position data

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