Research Article
An Efficient DOA Estimation and Network Sorting Algorithm for Multi-FH Signals
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@INPROCEEDINGS{10.1007/978-3-319-73447-7_7, author={Xin-yong Yu and Ying Guo and Kun-feng Zhang and Lei Li and Hong-guang Li and Ping Sui}, title={An Efficient DOA Estimation and Network Sorting Algorithm for Multi-FH Signals}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Frequency-hopping (FH) SCMUSIC spatial spectrum Direction of arrival (DOA) Morphological filtering Network sorting}, doi={10.1007/978-3-319-73447-7_7} }- Xin-yong Yu
Ying Guo
Kun-feng Zhang
Lei Li
Hong-guang Li
Ping Sui
Year: 2018
An Efficient DOA Estimation and Network Sorting Algorithm for Multi-FH Signals
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_7
Abstract
In order to use the spatial characteristic parameter of frequency hopping (FH) signal to realize FH sorting, an efficient FH signal DOA estimation algorithm is proposed in this paper. Firstly, the effective hop of signal is extracted from time and frequency domain and the spatial-time-frequency distribution matrix of this hop is established; then the SCMUSIC spatial spectrum is constructed using descending dimension method of noise sub-space based on MUSIC algorithm; finally we realize fast DOA estimation through half-spectrum searching so that FH sorting can be achieved using DOA information. Theoretical analysis and simulation results show that this algorithm has good effectiveness and estimation performance.
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