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Antenna Deployment Method for MIMO Radar under the Situation of Multiple Interference Regions [article]

Tianxian Zhang, Jiadong Liang, Yichuan Yang, Guolong Cui, Lingjiang Kong, Xiaobo Yang
2017 arXiv   pre-print
In this paper, considering multiple interference regions simultaneously, an optimal antenna deployment problem for distributed Multi-Input Multi-Output (MIMO) radar is investigated.  ...  Firstly, we construct a multi-objective optimization problem for MIMO radar antenna deployment by choosing the interference power densities of different regions as objective functions.  ...  In this paper, under the situation of multiple interference regions, an optimal antenna deployment problem for a distributed MIMO radar is studied.  ... 
arXiv:1701.05700v1 fatcat:nz4wwg4herddtlmnr4c4omkzdy

[SAM 2020 Title Page]

2020 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)  
Iterative Thresholding Algorithm T 147 1570621073 Target Detection Based on Canonical Correlation Technique for Large Array MIMO Radar in Spatially Correlated Noise 148 1570621019 Target Detection in  ...  Classification Based on CNN 21 1570620646 Ambiguity Function-Based ESPRIT Algorithm for FDA-MIMO Radar Target Localization 22 1570617899 An Airborne VideoSAR High-resolution Ground Playback System Based  ... 
doi:10.1109/sam48682.2020.9104267 fatcat:erntqdmhdrdspcrkvjowtplyyq

SAM 2020 Author Index

2020 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)  
Correlated Noise Suppression of Ghost Targets in Focusing Azimuth Periodically Gapped SAR Raw Data with Complex Iterative Thresholding Algorithm SS19.2 An Airborne VideoSAR High-resolution Ground Playback  ...  for Radar Applications R07.4 Design of adaptive detectors for FDA-MIMO radar Deram, Sai Pavan R10.2 Iterative Tensor Receiver for MIMO-GFDM systems Deville, Yannick SS14.2 Blind source separation  ... 
doi:10.1109/sam48682.2020.9104397 fatcat:cfp5gsikrzabhhcnkalahjkxze

Multi-Channel and Multi-Agent Signal Processing

Angelo Coluccia
2022 Applied Sciences  
Multi-channel and array signal processing is a well-established field with fundamental applications in wireless communications, radar/sonar, remote sensing, medical imaging, and more [...]  ...  Lee [9] , proposes an adaptive threshold-aided K-best sphere decoding (AKSD) algorithm for large MIMO systems.  ...  A third paper, "Adaptive Threshold-Aided K-Best Sphere Decoding for Large MIMO Systems", by U. Ummatov and K.  ... 
doi:10.3390/app12041851 fatcat:zmut2jqovrcetcx5qs7simjr4y

Simultaneous Sparse Approximation Using an Iterative Method with Adaptive Thresholding [article]

Shahrzad Kiani, Sahar Sadrizadeh, Mahdi Boloursaz, Farokh Marvasti
2017 arXiv   pre-print
We provide an analytical discussion on the convergence of our method called Simultaneous Iterative Method with Adaptive Thresholding (SIMAT).  ...  Moreover, SIMAT is considerably less complicated than BIMAT, which makes it feasible for practical applications such as implementation in MIMO radar systems.  ...  ACKNOWLEDGMENT The authors would like to thank Ehsan Asadi for helping in the analytical discussion subsection and Babak Barazandeh for introducing this topic to one of the authors.  ... 
arXiv:1707.08310v1 fatcat:yv6jahn5angavgqtypeu3tp54e

Power allocation for target detection in radar networks based on low probability of intercept: A cooperative game theoretical strategy

Chenguang Shi, Sana Salous, Fei Wang, Jianjiang Zhou
2017 Radio Science  
Acknowledgments We note that there are no data sharing issues since all of the numerical information is provided in the figures produced by solving the equations and iterative procedure in the paper, which  ...  Game Theoretical Formulation This section investigates the problem of adaptive power allocation to each netted radar in a distributed fashion, where an LPI-based NBPAG model is developed for radar networks  ...  An iterative Nash bargaining algorithm is developed for the NBPAG, along with analytical proofs that show the existence and uniqueness of the NBS.  ... 
doi:10.1002/2017rs006332 fatcat:qdsoyoe4jjcdte7xb4fl2uv3cq

MIMO Radar Detection and Adaptive Design Under a Phase Synchronization Mismatch

Murat Akcakaya, Arye Nehorai
2010 IEEE Transactions on Signal Processing  
Based on the mutual information between the radar measurements and received target returns (and hence the phase error), we propose an algorithm to adaptively distribute the total transmitted energy among  ...  Index Terms-Adaptive design, MIMO radar signal processing, phase error, signal detection.  ...  For the non-coherent MIMO radar, the target reflection coefficients are assumed to be random. An example is complex Gaussian distribution.  ... 
doi:10.1109/tsp.2010.2054088 fatcat:iprhm6brcjeodljtwnryzzb46e

MIMO radar detection and adaptive design in compound-Gaussian clutter

Murat Akcakaya, Arye Nehorai
2010 2010 IEEE Radar Conference  
Based on the approximation of the statistical characteristics of this test, we propose an algorithm to adaptively distribute the total transmitted energy among the transmitters.  ...  We demonstrate the advantages of MIMO and adaptive energy allocation using Monte Carlo simulations.  ...  We used Monte Carlo simulations and demonstrated the advantage of MIMO over conventional radar for target detection and the detection performance enhancement due to our adaptive energy distribution algorithm  ... 
doi:10.1109/radar.2010.5494620 fatcat:xnfvg525j5au7oaysqclx2f2sm

Global methods for compressive sensing in MIMO radar with distributed sensors

Marco Rossi, Alexander M. Haimovich, Yonina C. Eldar
2011 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)  
We study compressive sensing methods for target localization in MIMO radar.  ...  It is shown that this method can achieve high resolution target localization with a highly undersampled MIMO radar with transmit/receive elements placed at random.  ...  Concerning random arrays for MIMO radar, in [16] , a CS algorithm known as the Dantzig selector, is used to extract angle and Doppler information with randomly located sensors.  ... 
doi:10.1109/acssc.2011.6190269 dblp:conf/acssc/RossiHE11 fatcat:7ucx3w5dfvexrbb344u4qqrjnq

Polarimetric MIMO radar target detection based on glowworm swarm optimization algorithm

Hong Jiang, Xiaohui Tang
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
The signal model of polarimetric MIMO radar is described.  ...  Arbitrary transmit polarization waveforms are permitted to match the scattering properties of the target for polarimetric multiple-input multiple-output (MIMO) radar systems in order to improve the detection  ...  For MIMO radar with two distributed transmit antennas, the algorithm can handle in parallel and optimize four polarization parameters at the same time.  ... 
doi:10.1109/icassp.2014.6853708 dblp:conf/icassp/JiangT14 fatcat:32nhoqxngfcn7hhb5jgy6ptosa

MIMO Radar Detection in Non-Gaussian and Heterogeneous Clutter

Chin Yuan Chong, FrÉdÉric Pascal, Jean-Philippe Ovarlez, Marc Lesturgie
2010 IEEE Journal on Selected Topics in Signal Processing  
Next, the adaptive version of the detector is investigated. The covariance matrix is estimated using the Fixed Point (FP) algorithm which enables the detector to remain texture-and matrix-CFAR.  ...  as a system such that only one detection threshold is used.  ...  Fig. 8. against SCR for Monte Carlo simulations for both the adaptive MIMO GLRT-LQ using FPEs and the MIMO AMF using SCM with K-distributed clutter. . (a) . (b) .  ... 
doi:10.1109/jstsp.2009.2038980 fatcat:yuh6kvzp5jcfncgutw3kqpbema

Cognitive Frequency-Hopping Waveform Design for Dual-Function MIMO Radar-Communications System

Yao, Li, Wu
2020 Sensors  
The set of transmit waveforms employed to perform the MIMO radar task is generated using FH codes.  ...  Simulation results show an improvement in target response extraction, target detection probability and delay-Doppler resolution as the number of iterations increases, while still maintaining high data  ...  Figure 2 describes the architecture of an adaptive dual-function MIMO radar communication system. most reasonable waveform for emission from the ensemble.  ... 
doi:10.3390/s20020415 pmid:31940792 pmcid:PMC7014358 fatcat:ovm2yttyxrgtfazuca5rcrvzmy

Low probability of intercept-based distributed MIMO radar waveform design against barrage jamming in signal-dependent clutter and coloured noise

Chenguang Shi, Fei Wang, Mathini Sellathurai, Jianjiang Zhou
2019 IET Signal Processing  
Then, the LPI-based distributed MIMO radar waveform design strategy is developed.  ...  The resulting radar waveform optimisation problem is convex and solved analytically, whose solutions represent the optimum power allocation for each transmitter in the MIMO radar system.  ...  Unlike the existing algorithms for adaptive MIMO radar waveform design, the barrage jamming, signal-dependent clutter and coloured noise are all considered here.  ... 
doi:10.1049/iet-spr.2018.5212 fatcat:o3unoiwugbgl3k2caqodocdhwi

Subject Index

2020 Journal of Systems Engineering and Electronics  
based on Doppler feedback ................ 1-85 Finite sensor selection algorithm in distributed MIMO radar for joint target tracking and detection ....................................................  ...  ..................................... 4-703 An improved de-interleaving algorithm of radar pulses based on SOFM with self-adaptive network topology ....................................................  ... 
doi:10.23919/jsee.2020.9316414 fatcat:ikff6fptnrc43a2jxnj6nfw4tq

An Overview of Parametric Modeling and Methods for Radar Target Detection with Limited Data

Fangzhou Wang, Pu Wang, Xin Zhang, Hongbin Li, Braham Himed
2021 IEEE Access  
Figure 5 . 5 Distributed MIMO radar configuration for moving target detection. Figure 6 . 6 Parametric detector for distributed MIMO radar.  ...  PARAMETRIC DETECTION FOR DISTRIBUTED MIMO RADAR Observing targets over wide angular sectors with distributed MIMO radar offers great benefits for Doppler processing and moving target detection (MTD) [  ...  His research interests include detection, estimation, multichannel adaptive signal processing, time series analyses, array processing, adaptive processing, waveform diversity, MIMO radar, passive radar  ... 
doi:10.1109/access.2021.3074063 fatcat:sbj7lycnknawphsxzhfndoiiwu
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