ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.004
A Sparse Reconstruction Direct Position Determination Method based on Temporal Information Fusion
Abstract— The subspace data fusion direct position determination method is unable to locate coherent
signals, and suffers location accuracy loss and source resolution degradation under scenarios of low SNR,
snapshot deficiency. A sparse reconstruction direct position determination method based on temporal
information fusion is proposed to overcome the above-mentioned shortcomings. Firstly, the sparse
representation direct position determination model is established based on the sparsity of signal distribution.
Then the multi-snapshot reconstruction method is developed based on the idea of temporal information
fusion. Finally, the signal source positions are estimated according to one-to-one correspondence between the
sparse vector and signal geographic-grid locations. The simulations indicate that the proposed method is able
to locate coherent signals and outperforms subspace data fusion method in terms of location accuracy and
Index Terms— Direct Position Determination, Sparse Reconstruction, Temporal Information Fusion, Array Signal Processing
Yanqing Ren, Bin Ba, Zhiyu Lu, Daming Wang
National Digital Switching System Engineering and Technology Research Center, CHINA
Cite: Yanqing Ren, Bin Ba, Zhiyu Lu, Daming Wang, "A Sparse Reconstruction Direct Position Determination Method based on Temporal Information Fusion," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 22-29, Beijing, 25-27 June, 2017.