MIMO radar based on reduced complexity compressive sampling

Yao Yu, Athina P. Petropulu, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In their previous work, the authors considered a multiple-input multiple-output (MIMO) radar implemented by a set of randomly dispersed nodes within a small scale network. Exploiting the sparseness of targets in the angle-Doppler space, compressive sampling was exploited for obtaining joint angle-Doppler information on potential targets based on a small number of observations. That approach achieves the superior resolution of MIMO radar with far fewer samples than required by conventional approaches. However, it involves a discretization of the angle-Doppler space, and as the discretization step decreases in order to achieve high resolution, complexity increases. In this paper, a scheme to reduce the complexity of the aforementioned approach for the case of slowly moving targets is considered. The complexity reduction is achieved by decoupling angle and Doppler estimation. An approach is also proposed for identifying angle estimates that correspond to jammers.

Original languageEnglish (US)
Title of host publication2010 IEEE Radio and Wireless Symposium, RWW 2010 - Paper Digest
Pages21-24
Number of pages4
DOIs
StatePublished - May 21 2010
Event2010 IEEE Radio and Wireless Symposium, RWW 2010 - New Orleans, LA, United States
Duration: Jan 10 2010Jan 14 2010

Publication series

Name2010 IEEE Radio and Wireless Symposium, RWW 2010 - Paper Digest

Other

Other2010 IEEE Radio and Wireless Symposium, RWW 2010
CountryUnited States
CityNew Orleans, LA
Period1/10/101/14/10

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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    Yu, Y., Petropulu, A. P., & Poor, H. V. (2010). MIMO radar based on reduced complexity compressive sampling. In 2010 IEEE Radio and Wireless Symposium, RWW 2010 - Paper Digest (pp. 21-24). [5434111] (2010 IEEE Radio and Wireless Symposium, RWW 2010 - Paper Digest). https://doi.org/10.1109/RWS.2010.5434111