Paper Info
Title
Sparse reconstruction of multi-component Doppler signature exploiting target dynamics
Abstract
In this paper, we propose a novel technique for a non-parametric sparse reconstruction of the Doppler signature of multiple ground moving targets exploiting prior knowledge about the target dynamics. The Doppler signature of multiple non-stationary targets is commonly modeled as a multi-component polynomial phase signal, whose order depends on the complexity of target dynamics and the coherent processing interval. In recent years, sparse signal reconstruction and compressive sensing algorithms have been extensively deployed in both parametric and non-parametric estimation of Doppler signatures. The performance of sparsity based Doppler signature reconstruction algorithms is significantly compromised in the presence of strong noise and a large number of missing samples. Herein, we present an effective technique for a non-parametric sparse reconstruction of a multi-component Doppler signature by exploiting the a priori information on target dynamics. Simulation results show that the proposed technique significantly outperforms the conventional sparse reconstruction based methods in such challenging conditions.
Year
DOI
Venue
2015
10.1109/CAMSAP.2015.7383739
2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Keywords
Field
DocType
sparse reconstruction,multicomponent Doppler signature,nonparametric sparse reconstruction,multicomponent polynomial phase signal
Coherent processing interval,Radar tracker,Pattern recognition,Polynomial phase signal,A priori and a posteriori,Parametric statistics,Artificial intelligence,Doppler effect,Signal reconstruction,Mathematics,Compressed sensing
Conference
Citations 
PageRank 
References 
2
0.37
12
Authors
3
Name
Order
Citations
PageRank
Saurav Subedi1192.87
Yimin Zhang21536130.17
Moeness Amin32909287.79