Matrix analysis
Convex Optimization
Joint MIMO radar waveform and receiving filter optimization
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Robust minimum variance beamforming
IEEE Transactions on Signal Processing
Iterative greedy algorithm for solving the FIR paraunitary approximation problem
IEEE Transactions on Signal Processing
DFT-modulated filterbank transceivers for multipath fading channels
IEEE Transactions on Signal Processing
Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints
IEEE Transactions on Signal Processing
On Probing Signal Design For MIMO Radar
IEEE Transactions on Signal Processing
Signal Synthesis and Receiver Design for MIMO Radar Imaging
IEEE Transactions on Signal Processing - Part II
Spatial diversity in radars-models and detection performance
IEEE Transactions on Signal Processing
MIMO Radar Space–Time Adaptive Processing Using Prolate Spheroidal Wave Functions
IEEE Transactions on Signal Processing
MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms
IEEE Transactions on Signal Processing
Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study
IEEE Transactions on Signal Processing
Waveform Synthesis for Diversity-Based Transmit Beampattern Design
IEEE Transactions on Signal Processing
Transceiver optimization for multiuser MIMO systems
IEEE Transactions on Signal Processing
Robust Beamforming via Worst-Case SINR Maximization
IEEE Transactions on Signal Processing
Optimal transmit-receiver design in the presence of signal-dependent interference and channel noise
IEEE Transactions on Information Theory
Optimized DFT-FB transceivers over LTV channels
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
MIMO radar waveform design in colored noise based on information theory
IEEE Transactions on Signal Processing
Improved design of unimodular waveforms for MIMO radar
Multidimensional Systems and Signal Processing
Hi-index | 35.69 |
The concept of multiple-input multiple-output (MIMO) radar allows each transmitting antenna element to transmit an arbitrary waveform. This provides extra degrees of freedom compared to the traditional transmit beamforming approach. It has been shown in the recent literature that MIMO radar systems have many advantages. In this paper, we consider the joint optimization of waveforms and receiving filters in the MIMO radar for the case of extended target in clutter. A novel iterative algorithm is proposed to optimize the waveforms and receiving filters such that the detection performance can be maximized. The corresponding iterative algorithms are also developed for the case where only the statistics or the uncertainty set of the target impulse response is available. These algorithms guarantee that the SINR performance improves in each iteration step. Numerical results show that the proposed methods have better SINR performance than existing design methods.