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CDC
2010
IEEE

An overview of recent results on the identification of sparse channels using random probes

9 years 4 months ago
An overview of recent results on the identification of sparse channels using random probes
In this paper, we collect and discuss some of the recent theoretical results on channel identification using a random probe sequence. These results are part of the body of work known as compressive sampling, a rapidly developing field whose central message is that sparse vectors can be recovered from a set of "random" underdetermined measurements. In the context of channel estimation, if the channel's impulse response is sparse, then it can be estimated by exciting the channel with a random probing sequence and then taking a relatively small number of samples of the output. We also overview recent results in multiple channel estimation that show the channel responses in a multiple-input multiple-output (MIMO) system can be efficiently estimated by exciting all of the inputs with independent random probing signals simultaneously.
Justin Romberg
Added 13 May 2011
Updated 13 May 2011
Type Journal
Year 2010
Where CDC
Authors Justin Romberg
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