activity
20092022
most citedDeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering

461 citations · 2k across the 23 of their papers we have counts for

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Showing cs.ITShow all

9 papers · 1 filter

cs.IT2016

On Clutter Ranks of Frequency Diverse Radar Waveforms

Yimin Liu, Le Xiao, Xiqin Wang +1

Frequency diverse (FD) radar waveforms are attractive in radar research and practice. By combining two typical FD waveforms, the frequency diverse array (FDA) and the stepped-frequ…

cs.IT2016★ 235 cited

The Random Frequency Diverse Array: A New Antenna Structure for Uncoupled Direction-Range Indication in Active Sensing

Yimin Liu, Hang Ruan, Lei Wang +1

In this paper, we propose a new type of array antenna, termed the Random Frequency Diverse Array (RFDA), for an uncoupled indication of target direction and range with low system c…

cs.IT2013★ 311 cited

Direction of Arrival Estimation Using Co-prime Arrays: A Super Resolution Viewpoint

Zhao Tan, Yonina C. Eldar, Arye Nehorai

We consider the problem of direction of arrival (DOA) estimation using a newly proposed structure of non-uniform linear arrays, referred to as co-prime arrays, in this paper. By ex…

cs.IT2013★ 177 cited

Joint Sparse Recovery Method for Compressed Sensing with Structured Dictionary Mismatches

Zhao Tan, Peng Yang, Arye Nehorai

In traditional compressed sensing theory, the dictionary matrix is given a priori, whereas in real applications this matrix suffers from random noise and fluctuations. In this pape…

cs.IT2011★ 8 cited

Fixed point theory and semidefinite programming for computable performance analysis of block-sparsity recovery

Gongguo Tang, Arye Nehorai

In this paper, we employ fixed point theory and semidefinite programming to compute the performance bounds on convex block-sparsity recovery algorithms. As a prerequisite for optim…

cs.IT2011★ 11 cited

Verifiable and computable performance analysis of sparsity recovery

Gongguo Tang, Arye Nehorai

In this paper, we develop verifiable and computable performance analysis of sparsity recovery. We define a family of goodness measures for arbitrary sensing matrices as a set of op…