Power Allocation and Measurement Matrix Design for Block CS-Based Distributed MIMO Radars
@article{Abtahi2015PowerAA, title={Power Allocation and Measurement Matrix Design for Block CS-Based Distributed MIMO Radars}, author={Azra Abtahi and Mahmood Modarres-Hashemi and Farokh Marvasti and Foroogh Sadat Tabataba}, journal={arXiv: Information Theory}, year={2015} }
9 Citations
Design of measurement matrix in CS-MIMO radar for extended target estimation
- Computer ScienceDigit. Signal Process.
- 2018
Adaptive Energy Efficiency Based Power Allocation for MIMO Radar Network
- Computer Science, BusinessInternational Journal of Innovative Technology and Exploring Engineering
- 2019
An Energy Efficiency based Power Allocation (EEPA) is used to allocate the power to a user of the clusters and also across the clusters of MIMO radar to improve its performance.
ML-Based Block Sparse Recovery for distributed MIMO Radars in Clutter Environments
- Computer Science2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
- 2019
The proposed Maximum Likelihood (ML) based block sparse recovery scheme called ML-BSR has an accurate performance in clutter environments even with reduced the sampling rate at the receivers.
Off-Grid Localization in MIMO Radars Using Sparsity
- Computer ScienceIEEE Signal Processing Letters
- 2018
A new accurate approach for target localization in multiple-input multiple-output (MIMO) radars, which exploits the sparse spatial distribution of targets to reduce the sampling rate and can reduce the computational complexity.
Block adaptive compressive sensing for distributed MIMO radars in clutter environment
- Business2016 17th International Radar Symposium (IRS)
- 2016
This paper has presented the essential changes in a distributed MIMO radar to exploit an adaptive group testing compressive sensing method called L-BGT that has tolerable data acquisition time.
An Adaptive Iterative Thresholding Algorithm for Distributed MIMO Radars
- Computer ScienceIEEE Transactions on Aerospace and Electronic Systems
- 2019
It is proved that under some sufficient conditions, the suggested BIMATSR scheme converges to a stable solution and it is shown that in this application, random sampling scheme offers better performance than random Gaussian matrix, while it has simpler structure.
Analysis of block coherence based on deterministic matrices
- Computer Science2017 International Conference on Communication Technologies (ComTech)
- 2017
The outcome presented lies in the fact that exploitation of block sparsity with certain conditions results in successful recovery for a higher sparsity level than treating the signal as conventionally sparse.
An MCM-Enhanced Compressive Sensing for Weak Fault Feature Extraction of Rolling Element Bearings under Variable Speeds
- Computer Science, EngineeringShock and Vibration
- 2020
The analysis results of simulation and experiment prove that the VMD- and MCM-based CS can successfully extract the weak fault feature of rolling bearings with operating speed changing.
References
SHOWING 1-10 OF 38 REFERENCES
Measurement Matrix Design for Compressive Sensing–Based MIMO Radar
- Computer ScienceIEEE Transactions on Signal Processing
- 2011
Simulations indicate that the proposed measurement matrices can improve detection accuracy as compared to a GRMM and can significantly improve the SIR while maintaining a CSM comparable to that of the Gaussian random measurement matrix (GRMM).
Power allocation and waveform design for the compressive sensing based MIMO radar
- Computer ScienceIEEE Transactions on Aerospace and Electronic Systems
- 2014
The work presented here investigates the performance gain of CS-MIMO radars, stemming from optimal power allocation among the transmit antennas, or optimal waveform design.
MIMO Radar Using Compressive Sampling
- Computer ScienceIEEE Journal of Selected Topics in Signal Processing
- 2010
A multiple-input multiple-output (MIMO) radar system is proposed for obtaining angle and Doppler information on potential targets that achieves the superior resolution of MIMO radar with far fewer samples than required by other approaches.
Target Velocity Estimation and Antenna Placement for MIMO Radar With Widely Separated Antennas
- BusinessIEEE Journal of Selected Topics in Signal Processing
- 2010
The Cramer-Rao bound (CRB) is derived for velocity estimation and the optimized system/configuration design based on CRB is studied to show that when all antennas are located at approximately the same distance from the target, symmetrical placement is optimal and the relative position of transmitters and receivers can be arbitrary under the orthogonal received signal assumption.
Target Estimation Using Sparse Modeling for Distributed MIMO Radar
- Computer ScienceIEEE Transactions on Signal Processing
- 2011
A novel approach is used to accurately estimate properties of multiple targets using MIMO radar systems by employing sparse modeling and shows that this adaptive energy allocation mechanism significantly improves in performance over MIMo radar systems that transmit fixed equal energy across all the antennas.
Power allocation for CS-based colocated MIMO radar systems
- Computer Science2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM)
- 2012
A power allocation scheme that distributes the system total transmit power among the transmit antennas in an optimal fashion that leads to improved detection performance and minimizes the coherence between the target returns from different search cells.
Compressed sensing in MIMO radar
- Computer Science2008 42nd Asilomar Conference on Signals, Systems and Computers
- 2008
A waveform design method is introduced to reduce the correlations between target responses and the impact of compressed sensing will be very significant there because of the increased dimensionality in MIMO radars as compared to phased array radars.
MIMO Radar with Widely Separated Antennas
- BusinessIEEE Signal Processing Magazine
- 2008
It is shown that with noncoherent processing, a target's RCS spatial variations can be exploited to obtain a diversity gain for target detection and for estimation of various parameters, such as angle of arrival and Doppler.
Compressed sensing moving target detection for MIMO radar with widely spaced antennas
- Computer Science2010 International Symposium on Intelligent Signal Processing and Communication Systems
- 2010
This paper derives the moving target detector for the CS MIMO radar from the compressed sending multiple-input multiple output (MIMO) radar with widely separated antennas and analyses the performance and the receiver operating characteristic (ROC) curves.
CSSF MIMO RADAR: Compressive-Sensing and Step-Frequency Based MIMO Radar
- BusinessIEEE Transactions on Aerospace and Electronic Systems
- 2012
CSSF MIMO radar is proposed, which applies the technique of step frequency (SF) to compressive sensing (CS) based multiple-input multiple-output (MIMO) radar, which enables high resolution range, angle and Doppler estimation, while transmitting narrowband pulses.