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Muralidhar Rangaswamy

3 accepted papers

2025

Regularized Weighted Descent: Model-Based Learner for Multi-Target Radar Waveform Design

ICASSP 2025accepted

This study focuses on multiple target detection in the presence of signal-dependent clutter using a Multiple-Input Multiple-Output (MIMO) radar system. The problem is formulated as worst-case SINR maximization (max-min optimization), which is a function of the MIMO waveform, under the hardware-inspi…

Cited by 0SourceScholar
2023

Radar Clutter Covariance Estimation: A Nonlinear Spectral Shrinkage Approach

ICASSP 2023accepted

In this paper, we exploit the spiked covariance structure of the clutter plus noise covariance matrix for adaptive radar signal processing. Using state-of-the-art techniques from mathematical finance and high dimensional statistics we propose a non-linear shrinkage-based rotation invariant spiked co…

Cited by 0SourceScholar
2015

Random matrix theory inspired passive bistatic radar detection with noisy reference signal

ICASSP 2015accepted

Traditional passive radar systems with a noisy reference signal use the cross-correlation statistic for detection. However, owing to the composite nature of this hypothesis testing problem, no claims can be made about the optimality of this detector. In this paper, we consider digital illuminators s…

Cited by 0SourceScholar