Compressive CFAR radar detection
conference paper
In this paper we develop the first Compressive Sensing (CS) adaptive radar detector. We propose three novel architectures and demonstrate how a classical Constant False Alarm Rate (CFAR) detector can be combined with ℓ1-norm minimization. Using asymptotic arguments and the Complex Approximate Message Passing (CAMP) algorithm we characterize the statistics of the ℓ1-norm reconstruction error and derive closed form expressions for both the detection and false alarm probabilities. We support our theoretical findings with a range of experiments that show that our theoretical conclusions hold even in non-asymptotic setting. We also report on the results from a radar measurement campaign, where we designed ad hoc transmitted waveforms to obtain a set of CS frequency measurements. We compare the performance of our new detection schemes using Receiver Operating Characteristic (ROC) curves. © 2012 IEEE.
Topics
TNO Identifier
462877
Source title
2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012, 7-11 May 2012, Atlanta, GA, USA
Pages
0320-0325
Files
To receive the publication files, please send an e-mail request to TNO Repository.