Journal
DIGITAL SIGNAL PROCESSING
Volume 72, Issue -, Pages 1-8Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.dsp.2017.09.003
Keywords
Time-frequency analysis; Kernel design; Radio telescope; Bayesian compressive sensing; Frequency hopping
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Funding
- National Natural Science Foundation of China [61671060, 61421001, 61331021]
- Natural Science Foundation of Beijing Municipality [4172052]
- National Science Foundation [AST-1547420]
- China Scholarship Council
- Direct For Mathematical & Physical Scien [1547420] Funding Source: National Science Foundation
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This paper addresses the detection of weak astronomical signals that are contaminated by strong frequency-hopping (FH) interferers and suffer from missing samples. The problem is considered in the time-frequency domain and we successively suppress artifacts due to missing samples, estimate and remove FH interferers, and detect the weak astronomical signals. More specifically, we first suppress the artifacts due to missing samples by developing a waveform-adaptive time-frequency kernel. The instantaneous spectra of the FH interferers are then estimated using a sparsity-based approach that takes the inherent properties of FH signals into account. Finally, a sparse coherent integrated cubic phase function is applied to effectively detect weak astronomical chirp components over a long integration time. Simulation results are provided to demonstrate the effectiveness of the proposed approach. (C) 2017 Elsevier Inc. All rights reserved.
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