Paper Info
Title
Optimization-Based Discontinuous Observation Strategy for Micro-Doppler Signature Extraction of Space Cone Targets.
Abstract
In order to obtain relatively complete micro-Doppler (m-D) signatures of space precession cone targets, at least one precession period of dwell time is always required. In practice, most of the space cone targets do precession with a relativity low frequency (i.e., 0.5-1 Hz), which means second-level dwell time is necessary. However, second-level dwell time is prohibitive in terms of radar resource consumption, especially as radar has to face the challenges of multi-targets and multi-tasks. To tackle this problem, we conduct m-D signature extraction based on a discontinuous-observation-based strategy named multi-short-dwell observation (MSDO). Specifically, by incorporating the time-frequency information, the extraction Cramer-Rao bounds give reliable bounds for the performance of the m-D signature extraction. Therefore, they are derived and used as optimization criterions for optimizing the time parameters involved in the MSDO. A cost function is established to minimize the time resource occupation ratio such that the extraction precision requirement is met. The m-D signature extraction is implemented based on the optimized MSDO parameters in which the real sinusoid estimator and the least square estimator are adopted. The simulation results illuminate the effectiveness of the proposed method.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2915168
IEEE ACCESS
Keywords
Field
DocType
Space cone target,micro-Doppler signature extraction,time resource management,Cramer-Rao bound
Computer vision,Computer science,Artificial intelligence,Doppler effect,Distributed computing
Journal
Volume
ISSN
Citations 
7
2169-3536
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yuchun Shi111.41
Bo Jiu27110.88
Hongwei Liu341666.06