@inproceedings{ad042770dc0e4e5a81f782ebd582dcf7,
title = "An lp-based reconstruction algorithm for compressed sensing radar imaging",
abstract = "Radar scientists have recently explored the application of compressed sensing for generating high resolution range profiles (HRRPs) from a limited number of measurements. The last decade has witnessed a surge of algorithms for this purpose. Among these algorithms complex-valued approximate message passing (CAMP) has attracted attention for the following reasons: (i) it converges very fast, (ii) its mean-squared-error can be accurately predicted theoretically at every iteration, (iii) it is straightforward to control the false alarm rate and optimize for the best probability of detection. Despite its nice features, the recovery performance of CAMP is similar to {\^a}{"}1-minimization and hence is expected to be improved. The goal of this paper is to first show how the algorithm can be extended to solve non-convex optimization problems. Based on our framework we develop a new algorithm called adaptive {\^a}{"}p-CAMP that not only has all the nice properties of CAMP, but also provably outperforms it. We explore the performance of our algorithm on a real radar data and show that our new algorithm generates SNRs that are up to 6dB better than those of the other existing algorithms including the original CAMP.",
keywords = "Complex Approximate Message Passing, Compressed Sensing, High-range-resolution Profiles, {\^a}{"}p-minimization",
author = "Le Zheng and Arian Maleki and Quanhua Liu and Xiaodong Wang and Xiaopeng Yang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Radar Conference, RadarConf 2016 ; Conference date: 02-05-2016 Through 06-05-2016",
year = "2016",
month = jun,
day = "3",
doi = "10.1109/RADAR.2016.7485202",
language = "English",
series = "2016 IEEE Radar Conference, RadarConf 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE Radar Conference, RadarConf 2016",
address = "United States",
}