• Publications
  • Influence
Spatial Diversity in Radars—Models and Detection Performance
TLDR
The optimal detector in the Neyman–Pearson sense is developed and analyzed for the statistical MIMO radar and 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.
A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application
TLDR
A generic image fusion framework based on multiscale decomposition is studied, which includes all of the existing multiscales-decomposition-based fusion approaches the authors found in the literature which did not assume a statistical model for the source images.
Target Localization Accuracy Gain in MIMO Radar-Based Systems
TLDR
An analysis of target localization accuracy, attainable by the use of multiple-input multiple-output (MIMO) radar systems, configured with multiple transmit and receive sensors, widely distributed over an area, shows that the best linear unbiased estimator (BLUE) is derived for the MIMO target localization problem.
Optimized signaling for MIMO interference systems with feedback
TLDR
This work model the system as a noncooperative game and perform iterative water-filling to find the Nash equilibrium distributively and proposes several numerical approaches to decide the covariance matrices of the transmitted signals and compare their performance in terms of the system mutual information.
MIMO capacity with interference
  • Rick S. Blum
  • Computer Science, Business
    IEEE J. Sel. Areas Commun.
  • 11 June 2003
TLDR
System capacity is considered for a group of interfering users employing single-user detection and multiple transmit and receive antennas for flat Rayleigh-fading channels with independent fading coefficients for each path and it is shown that the optimum signaling is sometimes different from cases where the users do not interfere with each other.
Energy Efficient Signal Detection in Sensor Networks Using Ordered Transmissions
TLDR
A highly efficient approach which saves transmissions over either the optimum unconstrained energy approach or censoring while achieving the same error probability as these approaches is described.
Multiuser diversity for a dirty paper approach
TLDR
This letter proposes a greedy algorithm based on QR decomposition of the channel and dirty paper precoding to exploit the multiuser diversity of the Gaussian vector broadcast channel to provide large gain over approaches ignoring this resource.
The good, bad and ugly: distributed detection of a known signal in dependent Gaussian noise
TLDR
Bayes-optimal binary quantization for the detection of a shift in mean in a pair of dependent Gaussian random variables is studied, and it is seen that in certain situations, an XOR fusion rule is optimal, and in these cases, the implied decision rule is bizarre.
Minimax Robust MIMO Radar Waveform Design
TLDR
This work develops minimax robust waveforms for MIMO radar under both MMSE and MI criteria that bound the worst-case performance at an acceptable limit, and also could insure performance will be sufficiently good for any PSD in the uncertainty class.
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