L
Le Zheng
Researcher at Columbia University
Publications - 49
Citations - 1929
Le Zheng is an academic researcher from Columbia University. The author has contributed to research in topics: Radar & Communications system. The author has an hindex of 15, co-authored 47 publications receiving 991 citations. Previous affiliations of Le Zheng include Beijing Institute of Technology.
Papers
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Journal ArticleDOI
Radar and Communication Coexistence: An Overview: A Review of Recent Methods
TL;DR: Increased amounts of bandwidth are required to guarantee both high-quality/high-rate wireless services (4G and 5G) and reliable sensing capabilities, such as for automotive radar, air traffic control, earth geophysical monitoring, and security applications.
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An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing
J. Andrew Zhang,Fan Liu,Christos Masouros,Robert W. Heath,Zhiyong Feng,Le Zheng,Athina P. Petropulu +6 more
TL;DR: A comprehensive overview of the state-of-the-art on JCR systems from the signal processing perspective is provided in this article, where a balanced coverage on both transmitter and receiver is provided.
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Joint System Design for Coexistence of MIMO Radar and MIMO Communication
TL;DR: This paper considers the joint design of a multiple-input multiple-output (MIMO) radar with co-located antennas and a MIMO communication system, and a reduced-complexity iterative algorithm, based on iterative alternating maximization of three suitably designed subproblems, is proposed and analyzed.
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Joint Design of Overlaid Communication Systems and Pulsed Radars
TL;DR: This paper provides closed-form solutions for the optimum transmit policies for both systems under two basic models for the scattering produced by the radar onto the communication receiver, and account for possible correlation of the signal-independent fraction of the interference impinging on the radar.
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Super-Resolution Delay-Doppler Estimation for OFDM Passive Radar
Le Zheng,Xiaodong Wang +1 more
TL;DR: A compressed sensing algorithm is proposed to achieve supper resolution and better accuracy, using both the atomic norm and the -norm, to manifest the signal sparsity in the continuous domain.