@inproceedings{c7a622d4777f47469418f3f92809eac5,
title = "Joint Optimization of Waveform and Quantization in Spectral Congestion Conditions",
abstract = "In a distributed radar system, signals observed by receive sensors are sent to a remote processing center (PC) via limited-capacity channels. We refer to this architecture as cloud radar as it is reminiscent of the cloud radio access in cellular communications. The communication between the sensors and the PC is intrinsic to the system, but the cloud radar is also required to operate over a spectrum partially shared with extrinsic communication devices and services. We formulate a problem of designing the transmitted waveform and the quantization schemes at the sensors such as to optimize a target detection metric subject to the capacity limitations, spectrum sharing and some other constraints. In particular, mutual information serves as a proxy detection metric. Numerical results demonstrate that joint optimization of the waveform and compression schemes outperforms separate designs.",
keywords = "Waveform design, detection, quantization, spectrum sharing",
author = "Wei Jiang and Haimovich, {Alexander M.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 ; Conference date: 28-10-2018 Through 31-10-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ACSSC.2018.8645112",
language = "English (US)",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "1894--1898",
editor = "Matthews, {Michael B.}",
booktitle = "Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018",
address = "United States",
}