Time domain CS kernel design for mitigation of wall reflections in urban radar

Yujie Gu, Nathan A. Goodman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

In this paper, we use the task-specific information (TSI) metric to optimize a compressive sensing kernel for target detection behind a wall. When the target is close to the wall, strong reflections from the wall can obscure the target. Even if wall reflections are estimated and subtracted from the measurement, the dynamic range between wall and target reflections may saturate the analog-to-digital converter (ADC). Furthermore, resolving the target from the wall requires high bandwidth. In this paper, we consider the potential for using custom-designed compressive measurement kernels to mitigate these resolution and dynamic range problems. We treat wall reflections as colored noise in our Gaussian Mixture-based kernel optimization procedure, which results in custom-generated kernels that can reject the dominant wall reflections. Although this places more burden on a receivers analog components, in some scenarios it can significantly improve the situation at the ADC.

Original languageEnglish
Title of host publication2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
PublisherIEEE Computer Society
Pages493-496
Number of pages4
ISBN (Print)9781479914814
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014 - A Coruna, Spain
Duration: 22 Jun 201425 Jun 2014

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Electronic)2151-870X

Conference

Conference2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
Country/TerritorySpain
CityA Coruna
Period22/06/1425/06/14

Funding

FundersFunder number
Defense Advanced Research Projects Agency#N66001-10-1-4079

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