A block-diagonal growth curve model
Digital Signal Processing
Novel multistatic adaptive microwave imaging methods for early breast cancer detection
EURASIP Journal on Applied Signal Processing
Multitarget identification and localization using bistatic MIMO radar systems
EURASIP Journal on Advances in Signal Processing
Fast communication: Joint DOD and DOA estimation for bistatic MIMO radar
Signal Processing
Optimal fast-time beamforming with linearly independent waveforms
Signal Processing
MIMO radar waveform optimization with prior information of the extended target and clutter
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing
Transformation effects on invariant property of invariant hypothesis test and UMPI detector
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
On MIMO detection under non-Gaussian target scattering: the power-limited case
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Designing unimodular sequence sets with good correlations: including an application to MIMO radar
IEEE Transactions on Signal Processing
Communications-inspired sensing: a case study on waveform design
IEEE Transactions on Signal Processing
Clutter rank of STAP in MIMO radar with waveform diversity
IEEE Transactions on Signal Processing
Phased-MIMO radar: a tradeoff between phased-array and MIMO radars
IEEE Transactions on Signal Processing
Target localization accuracy gain in MIMO radar-based systems
IEEE Transactions on Information Theory
Robust adaptive beamforming for MIMO radar
Signal Processing
Sensor scheduling with waveform design for dynamic target tracking using MIMO radar
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Finite-sample optimal joint target detection and parameter estimation by MIMO radars
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
A MIMO radar system approach to target tracking
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Exploiting correlation in target detection using MIMO radar with angular diversity
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Performance and complexity issues in noncoherent and coherent MIMO radar
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Two-dimensional imaging via a narrowband MIMO radar system with two perpendicular linear arrays
IEEE Transactions on Image Processing
High-resolution imaging using a wideband MIMO radar system with two distributed arrays
IEEE Transactions on Image Processing
Reducing the waveform cross correlation of MIMO radar with space: time coding
IEEE Transactions on Signal Processing
Optimal point target detection with unknown parameters by MIMO radars
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Noncoherent MIMO radar for location and velocity estimation: more antennas means better performance
IEEE Transactions on Signal Processing
MIMO radar waveform design in colored noise based on information theory
IEEE Transactions on Signal Processing
Adaptive waveform design for separated transmit/receive ULA-MIMO radar
IEEE Transactions on Signal Processing
MIMO radar detection and adaptive design under a phase synchronization mismatch
IEEE Transactions on Signal Processing
Orthogonal waveform design and performance analysis in radar sensor networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
On MIMO detection under non-gaussian target scattering
IEEE Transactions on Information Theory
Space-time coding for MIMO radar detection and ranging
IEEE Transactions on Signal Processing
On parameter identifiability of MIMO radar with waveform diversity
Signal Processing
Direct positioning of stationary targets using MIMO radar
Signal Processing
Direction finding and mutual coupling estimation for bistatic MIMO radar
Signal Processing
PHD filter based track-before-detect for MIMO radars
Signal Processing
A modified MIMO radar model based on robustness and gain analysis
WSEAS Transactions on Signal Processing
Distributed target detection with polarimetric MIMO radar in compound-Gaussian clutter
Digital Signal Processing
Detection of heterogeneous samples based on loaded generalized inner product method
Digital Signal Processing
Performance comparison of airborne phased-array and mimo radar with subarrays
Journal of Mobile Multimedia
Maximum likelihood estimation of DOD and DOA for bistatic MIMO radar
Signal Processing
Hi-index | 35.84 |
Inspired by recent advances in multiple-input multiple-output (MIMO) communications, this proposal introduces the statistical MIMO radar concept. To the authors' knowledge, this is the first time that the statistical MIMO is being proposed for radar. The fundamental difference between statistical MIMO and other radar array systems is that the latter seek to maximize the coherent processing gain, while statistical MIMO radar capitalizes on the diversity of target scattering to improve radar performance. Coherent processing is made possible by highly correlated signals at the receiver array, whereas in statistical MIMO radar, the signals received by the array elements are uncorrelated. Radar targets generally consist of many small elemental scatterers that are fused by the radar waveform and the processing at the receiver, to result in echoes with fluctuating amplitude and phase. It is well known that in conventional radar, slow fluctuations of the target radar cross section (RCS) result in target fades that degrade radar performance. By spacing the antenna elements at the transmitter and at the receiver such that the target angular spread is manifested, the MIMO radar can exploit the spatial diversity of target scatterers opening the way to a variety of new techniques that can improve radar performance. This paper focuses on the application of the target spatial diversity to improve detection performance. The optimal detector in the Neyman-Pearson sense is developed and analyzed for the statistical MIMO radar. It is shown that the optimal detector consists of noncoherent processing of the receiver sensors' outputs and that for cases of practical interest, detection performance is superior to that obtained through coherent processing. An optimal detector invariant to the signal and noise levels is also developed and analyzed. In this case as well, statistical MIMO radar provides great improvements over other types of array radars.