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low-angle estimation using frequency-agile refined maximum likelihood algorithm based on optimal fusion

Journal of Systems Engineering and Electronics 2021年第3期32卷 538-544页

作者： CHEN Sheng ZHAO Yongbo PANG Xiaojiao HU Yili CAO Chenghu National Laboratory of Radar Signal Processing Xidian UniversityXi’an 710071China

low elevation estimation,which has attracted wide attention due to the presence of specular multipath,is essential for tracking *** agility not only has the advantage of strong anti-interference ability,but also can enhance the performance of tracking radars.A frequency-agile refined maximum likelihood(RML)algorithm based on optimal fusion is *** algorithm constructs an optimization problem,which minimizes the mean square error(MSE)of angle ***,the optimal weight at different frequency points is obtained for fusing the angle *** theoretical analysis and simulation,the frequency-agile RML algorithm based on optimal fusion can improve the accuracy of angle estimation effectively.

关键词： frequency-agile maximum likelihood multipath signal low-angle estimation

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Real-domain GMUSIC algorithm based on unitary-transform for low-angle estimation

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Journal of Systems Engineering and Electronics 2014年第5期25卷 794-799页

作者： Zheng Liu Yuanyuan Wang Yunhe Cao National Laboratory of Radar Signal Processing Xidian University

In order to realize the elevation angle estimation for low-altitude targets at a low computational cost, a generalized multiple signal classification （GMUSIC） algorithm based on unitary transform is proposed, i.e., the DU-GMUSlC algorithm. Firstly, the covariance matrix of received data is used to construct the Centro- Hermitian matrix. Then, the real-domain GMUSIC algorithm is used to implement the initial angle estimation, and the multipath attenuation coefficient is calculated in succession. Finally, the attenuation coefficient is taken into account in the GMUSIC method to carry out the secondary angle estimation which is beneficial to further improvement of the angle estimation accuracy. This method can meet requirements of low-angle accuracy as well as lower computational burden. Simulation results prove the correctness and effectiveness of the proposed algorithm. Moreover, field experiment data are used to further validate the effectiveness of this method.

关键词： multipath effect low-angle estimation unitary transform. attenuation coefficient.

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维普期刊数据库

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Target height and multipath attenuation joint estimation with complex scenarios for very high frequency radar

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Frontiers of Information Technology & Electronic Engineering 2022年第6期23卷 937-949页

作者： Sheng CHEN Yongbo ZHAO Yili HU Chenghu CAO Xiaojiao PANG National Laboratory ofRadar Signal Processing Xidian UniversityXi'an710071China

low-angle estimation for very high frequency(VHF)radar is a difficult problem due to the multipath effect in the radar field,especially in complex scenarios where the reflection condition is *** deal with this problem,we propose an algorithm of target height and multipath attenuation joint *** amplitude of the surface reflection coefficient is estimated by the characteristic of the data itself,and it is assumed that there is no reflected signal when the amplitude is very *** phase of the surface reflection coefficient and the phase difference between the direct and reflected signals are searched as the same part,and this represents the multipath phase *** Cramer-Rao bound of the proposed algorithm is also ***,computer simulations and real data processing results show that the proposed algorithm has good estimation performance under complex scenarios and works well with only one snapshot.

关键词： low-angle estimation Very high frequency(VHF)radar Complex scenarios Multipath effect Height estimation

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