CFAR analysis of the multicoset-thresholding detector: Application to the low complexity sub-Nyquist Radar Electronic Surveillance

Mehrdad Yaghoobi Vaighan, Bernie Mulgrew, Michael Davies, Andy Stove

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

Abstract / Description of output

Multicoset sampling scheme is a technique to achieve high-speed sampling rate, using a bank of lower-rate sampling channels. In this technique, each channel samples with a small delay with respect to the other channels. As a result, we often can reconstruct the high bandwidth input signal, by wisely combining the information from different channels. However, in many applications, the reconstruction is not the goal. Here, we consider an application, i.e. Radar Electronic Surveillance, in which the aim is the detection and identification of the incoming Radar pulses. As the sampling rate is very high, e.g. up to tens of Giga samples per second, we also need a fast detection scheme. We have recently proposed an efficient multicoset sampling technique, called LoCoMC, which is based on the thresholding for the detection and combining the information from different channels, to extract pulses. We here present an analytical investigation of the thresholding based detection and demonstrate how to choose the thresholding parameter. We then show that the algorithm can be competitive with a state of the art algorithm in performance, while it is computationally very cheap.

Original languageEnglish
Title of host publication2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-65
Number of pages5
ISBN (Electronic)9781479974207
DOIs
Publication statusPublished - 16 Nov 2015
Event3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015 - Pisa, Italy
Duration: 17 Jun 201519 Jun 2015

Conference

Conference3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015
Country/TerritoryItaly
CityPisa
Period17/06/1519/06/15

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