Journal
IET SIGNAL PROCESSING
Volume 12, Issue 5, Pages 559-565Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-spr.2017.0360
Keywords
numerical analysis; data compression; Gaussian noise; radar signal processing; quantisation (signal); optimisation; combined waveform-quantisation threshold optimisation strategy; distributed receivers; fusion centre; capacity constraints; cloud radio-multistatic radar system; additive quantisation Gaussian noise model; real quantisation system; received signal compression; scalar quantiser; numerical simulations
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Funding
- National Key Research and Development Program [2016YFC0300801]
- Zhejiang Provincial Natural Science Foundation of China [LQ18F010001]
- State Key Laboratory of Robotics [2016-O12]
- National Natural Science Foundation of China [51679213]
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The problem of designing waveform and quantisation thresholds is studied in a multistatic radar setting, where distributed receivers are connected to a fusion centre via capacity constraints. Different from the previous cloud radio-multistatic radar system which utilises an additive quantisation Gaussian noise model, a real quantisation system is designed. The authors first optimise the waveform without quantisation. Then they compress the received signal at receivers into a scalar without any performance degradation. Furthermore, the scalar quantiser is adopted and quantisation thresholds are designed. Numerical simulations are performed and the effectiveness of combined waveform and thresholds optimisation strategy is demonstrated.
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