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Compressed sensing: Radar signal detection and parameter measurement for EW applications
Author(s) -
Rao M. Sreenivasa,
Naik K. Krishna,
Reddy K. Maheshwara
Publication year - 2016
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1002/2016rs005963
Subject(s) - compressed sensing , electronic warfare , computer science , integrator , sampling (signal processing) , radar , signal (programming language) , electronic engineering , matlab , filter (signal processing) , orthonormal basis , telecommunications , engineering , algorithm , computer vision , bandwidth (computing) , physics , quantum mechanics , programming language , operating system
State of the art system development is very much required for UAVs (Unmanned Aerial Vehicle) and other airborne applications, where miniature, lightweight and low‐power specifications are essential. Currently, the airborne Electronic Warfare (EW) systems are developed with digital receiver technology using Nyquist sampling. The detection of radar signals and parameter measurement is a necessary requirement in EW digital receivers. The Random Modulator Pre‐Integrator (RMPI) can be used for matched detection of signals using smashed filter. RMPI hardware eliminates the high sampling rate analog to digital computer and reduces the number of samples using random sampling and detection of sparse orthonormal basis vectors. RMPI explore the structural and geometrical properties of the signal apart from traditional time and frequency domain analysis for improved detection. The concept has been proved with the help of MATLAB and LabVIEW simulations.