Radar Signal Recovery using Compressive Sampling Matching Pursuit Algorithm

  • M Sreenivasa Rao Defence Avionics Research Establishment, Bengaluru
  • K Krishna Naik Defence Institute of Advanced Technology, Pune
  • K Maheshwara Reddy Defence Avionics Research Establishment, Bengaluru
Keywords: Compressed sensing, CoSaMP, EW, RMPI, RIP, Signal recovery

Abstract

In this study, we propose compressive sampling matching pursuit (CoSaMP) algorithm for sub-Nyquist based electronic warfare (EW) receiver system. In compressed sensing (CS) theory time-frequency plane localisation and discretisation into a N×N grid in union of subspaces is established. The train of radar signals are sparse in time and frequency can be under sampled with almost no information loss. The CS theory may be applied to EW digital receivers to reduce sampling rate of analog to digital converter; to improve radar parameter resolution and increase input bandwidth. Simulated an efficient approach for radar signal recovery by CoSaMP algorithm by using a set of various sample and different sparsity level with various radar signals. This approach allows a scalable and flexible recovery process. The method has been satisfied with data in a wide frequency range up to 40 GHz. The simulation shows the feasibility of our method.

Author Biographies

M Sreenivasa Rao, Defence Avionics Research Establishment, Bengaluru


Mr M. Sreenivasa Rao, received ME (Avionics) from Madras Institute of Technology (MIT), of Anna University, in 1995. He was engaged in development of EW systems in Aviation EW projects. Presently he is working as Scientist ‘F’ in Defence Avionics Research establishment (DARE), Bengaluru. Currently working as the Wing Head of EW Test Facilities range and engaged in development of configurable multithreat radar signal simulator for airborne EW system test range.

K Krishna Naik, Defence Institute of Advanced Technology, Pune
Dr K. Krishna Naik, received Engineering in Electronics & Communication Engineering from Sri Krishnadevaraya University, Anantapur in 2002, Post graduation from Indian Institute of Information Technology (IIIT), Allahabad in 2004 and Doctoral from Jawaharlal Nehru Technological University Anantapur, Anantapur in 2010. Currently he is working as an Assistant Professor in Electronics Engineering, Defence Institute of Advanced Technology, Pune. His current areas of interest include Electronic warfare applications, software defined radio, wireless networks, mobile ad-hoc networks.
K Maheshwara Reddy, Defence Avionics Research Establishment, Bengaluru

Dr K. Maheshwara Reddy, received MTech in the year 1985 and joined DRDO. He obtained his PhD in the field of DOA Estimation and signal processing in 1998. Currently he is serving as OS & Director, Defence Avionics Research Establishment, Bengaluru. Before taking charges as Director, DARE, he was an Associate Director (EW) holding the responsibility for developing various warner and ESM systems. His current research interests are EW and radar signal processing and DOA estimation.

Published
2016-12-23
How to Cite
Rao, M., Naik, K., & Reddy, K. (2016). Radar Signal Recovery using Compressive Sampling Matching Pursuit Algorithm. Defence Science Journal, 67(1), 94-99. https://doi.org/10.14429/dsj.67.9906
Section
Electronics & Communication Systems