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20202023
most citedDirection of Arrival Estimation for a Vector Sensor Using Deep Neural Networks

1 citations · 1 across the 12 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

eess.SP2022

Online Learning-based Waveform Selection for Improved Vehicle Recognition in Automotive Radar

Charles E. Thornton, William W. Howard, R. Michael Buehrer

This paper describes important considerations and challenges associated with online reinforcement-learning based waveform selection for target identification in frequency modulated…

eess.SY2022

Timely Target Tracking in Cognitive Radar Networks

William W. Howard, Charles E. Thornton, R. Michael Buehrer

We consider a scenario where a fusion center must decide which updates to receive during each update period in a communication-limited cognitive radar network. When each radar node…

eess.SP2022

Model Order Estimation in the Presence of multipath Interference using Residual Convolutional Neural Networks

Jianyuan Yu, William W. Howard, Yue Xu +1

Model order estimation (MOE) is often a pre-requisite for Direction of Arrival (DoA) estimation. Due to limits imposed by array geometry, it is typically not possible to estimate s…

eess.SP2022

Decentralized Bandits with Feedback for Cognitive Radar Networks

William Howard, R. Michael Buehrer

Completely decentralized Multi-Player Bandit models have demonstrated high localization accuracy at the cost of long convergence times in cognitive radar networks. Rather than mode…

eess.SP2022

Distributed Online Learning for Coexistence in Cognitive Radar Networks

William Howard, Anthony Martone, R. Michael Buehrer

This work addresses the coexistence problem for radar networks. Specifically, we model a network of cooperative, independent, and non-communicating radar nodes which must share res…