Open AccessCombined optimisation of waveform and quantisation thresholds for multistatic radar systems
Author(s) -
Zhu Jiang,
Ji Daxiong,
Xu Zhiwei,
Si Bailu
Publication year - 2018
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
ISSN - 1751-9683
DOI - 10.1049/iet-spr.2017.0360
Subject(s) - waveform , computer science , radar , multistatic radar , algorithm , scalar (mathematics) , electronic engineering , speech recognition , bistatic radar , mathematics , telecommunications , radar imaging , engineering , geometry
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.