B
Braham Himed
Researcher at Air Force Research Laboratory
Publications - 318
Citations - 7306
Braham Himed is an academic researcher from Air Force Research Laboratory. The author has contributed to research in topics: Radar & Clutter. The author has an hindex of 44, co-authored 310 publications receiving 6013 citations. Previous affiliations of Braham Himed include Wright-Patterson Air Force Base & Syracuse University.
Papers
More filters
Proceedings ArticleDOI
Sparsity-based DOA estimation using co-prime arrays
TL;DR: To fully utilize the virtual aperture achieved in the difference co-array constructed from a co-prime array structure, sparsity-based spatial spectrum estimation technique is exploited and results in increased degrees of freedom as well as improved DOA estimation performance.
Journal ArticleDOI
Dual-Function Radar Communication Systems: A solution to the spectrum congestion problem
TL;DR: The principles of DFRC systems are reviewed and the progress made to date in devising different forms of signal embedding are described, including downlink and uplink signaling schemes and their respective benefits and limitations.
Journal ArticleDOI
Parametric adaptive matched filter for airborne radar applications
Jaime R. Roman,Muralidhar Rangaswamy,Dennis W. Davis,Qingwen Zhang,Braham Himed,J.H. Michels +5 more
TL;DR: The parametric adaptive matched filter (PAMF) for space-time adaptive processing (STAP) is introduced via the matched filter, multichannel linear prediction, and the multichannels LDU decomposition.
Journal ArticleDOI
Interference Mitigation Processing for Spectrum-Sharing Between Radar and Wireless Communications Systems
Hai Deng,Braham Himed +1 more
TL;DR: A novel signal processing approach is developed for coherent MIMO radar that effectively minimizes the arbitrary interferences generated by wireless systems from any direction, while operating at the same frequency using cognitive radio technology.
Journal ArticleDOI
Moving Target Detection Using Distributed MIMO Radar in Clutter With Nonhomogeneous Power
Pu Wang,Hongbin Li,Braham Himed +2 more
TL;DR: A generalized-likelihood ratio test (GLRT) for moving target detection in distributed MIMO radar is developed and shown to be a constant false alarm rate (CFAR) detector and the test statistic is a central and noncentral Beta variable under the null and alternative hypotheses, respectively.