Joint Optimization of Waveform and Quantization in Spectral Congestion Conditions

Document Type

Conference Proceeding

Publication Date

7-2-2018

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.

Identifier

85062962968 (Scopus)

ISBN

[9781538692189]

Publication Title

Conference Record Asilomar Conference on Signals Systems and Computers

External Full Text Location

https://doi.org/10.1109/ACSSC.2018.8645112

ISSN

10586393

First Page

1894

Last Page

1898

Volume

2018-October

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