activity
20172025
most citedRelaxed Bi-quadratic Optimization for Joint Filter-Signal Design in Signal-Dependent STAP

29 citations · 29 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

GPU-GLMB: Assessing the Scalability of GPU-Accelerated Multi-Hypothesis Tracking

Pranav Balakrishnan, Sidisha Barik, Sean M. O'Rourke +1

Much recent research on multi-target tracking has focused on multi-hypothesis approaches leveraging random finite sets. Of particular interest are labeled random finite set methods…

eess.SP2025

Approximate MLE of High-Dimensional STAP Covariance Matrices with Banded & Spiked Structure -- A Convex Relaxation Approach

Shashwat Jain, Vikram Krishnamurthy, Muralidhar Rangaswamy +3

Estimating the clutter-plus-noise covariance matrix in high-dimensional STAP is challenging in the presence of Internal Clutter Motion (ICM) and a high noise floor. The problem bec…

cs.CV2021

SiamReID: Confuser Aware Siamese Tracker with Re-identification Feature

Abu Md Niamul Taufique, Andreas Savakis, Michael Braun +4

Siamese deep-network trackers have received significant attention in recent years due to their real-time speed and state-of-the-art performance. However, Siamese trackers suffer fr…

eess.SP2018

Constrained Least Squares, SDP, and QCQP Perspectives on Joint Biconvex Radar Receiver and Waveform design

Pawan Setlur, Sean O'Rourke, Muralidhar Rangaswamy

Joint radar receive filter and waveform design is non-convex, but is individually convex for a fixed receiver filter while optimizing the waveform, and vice versa. Such classes of…

eess.SY2017★ 29 cited

Relaxed Bi-quadratic Optimization for Joint Filter-Signal Design in Signal-Dependent STAP

Sean M. O'Rourke, Pawan Setlur, Muralidhar Rangaswamy +1

We investigate an alternative solution method to the joint signal-beamformer optimization problem considered by Setlur and Rangaswamy[1]. First, we directly demonstrate that the pr…