Discrete Electronic Warfare Signal Processing using Compressed Sensing Based on Random Modulator Pre-Integrator
Keywords: Compressed sampling, digital receiver, low probability of intercept, random modulator pre-integrator, ultra wideband
AbstractElectronic warfare receiver works in the wide electromagnetic spectrum in dense radar signal environment. Current trends in radar systems are ultra wideband and low probability of intercept radar technology. Detection of signals from various radar stations is a concern. Performance and probability of intercept are mainly dependent on high speed ADC technology. The sampling and reconstruction functions have to be optimized to capture incoming signals at the receiver to extract characteristics of the radar signal. The compressive sampling of the input signal with orthonormal base vectors, projecting the basis in the union of subspaces and recovery through convex optimisation techniques is the current traditional approach. Modern trends in signal processing suggest the random modulator pre-integrator (RMPI), which sample the input signal at information rate non-adaptively and recovery by the processing of discrete and finite vectors. Analysis of RMPI theory, application to EW receiver, simulation and recovery of EW receiver signals are discussed.
How to Cite
Rao, M., Mishra, C., Naik, K., & Reddy, K. (2015). Discrete Electronic Warfare Signal Processing using Compressed Sensing Based on Random Modulator Pre-Integrator. Defence Science Journal, 65(6), 472-476. https://doi.org/10.14429/dsj.65.8414
Engineering Science & Technology
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