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Evolution of Netted Radar Systems

Zhe Geng
2020 IEEE Access  
INDEX TERMS Multistatic radar, MIMO radar, passive radar, radar network.  ...  In contrast, sophisticated radar networks with centralized data fusion only emerged during the last few years thanks to the development in high-speed digital processing and precise time/phase synchronization  ...  lack of i.i.d. training data in heterogenous clutter for groundbased stationary DMR, it was pointed out in [97] that the clutter covariance structure has to be estimated from the measurement data adaptively  ... 
doi:10.1109/access.2020.3007774 fatcat:nva7abde7jbx7ajf7oihsj5334

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  
CONCLUSIONS In this survey article, we have shown that AR processes can be employed to model the clutter and unknown source signal to reduce the requirement of training data for effective target detection  ...  We consider radar detection in such scenarios with limited data, i.e., lack of sufficient training data for interference estimation.  ...  He is a Fellow of the IEEE and a past Chair of the AESS Radar Systems Panel. He is the recipient of the 2012 IEEE Warren White award for excellence in radar engineering. Dr.  ... 
doi:10.1109/access.2021.3074063 fatcat:sbj7lycnknawphsxzhfndoiiwu

Sparsity-Based Optimization of the Sensors Positions in Radar Networks with Separated Transmit and Receive Nodes

I. M. Ivashko, O. A. Krasnov, A. G. Yarovoy
2016 International Journal of Distributed Sensor Networks  
A sparsity-based approach for the joint optimization of the transmit and the receive nodes positions in the radar network with widely distributed antennas is proposed in this paper.  ...  Provided numerical analysis shows that, in order to satisfy the same requirements to the target localization accuracy, the radar network with bistatic radars requires less number of the nodes than the  ...  Acknowledgments This work has been partly performed within the RAEBELL project. The authors would like to thank Geert Leus, Sundeep Prabhakar Chepuri, Jonathan Bosse, and Ronny I. A.  ... 
doi:10.1155/2016/9437602 fatcat:fwbyl3qbwzejtg6rzvjbifi6fy

Detection and Tracking of UAV Targets Using Deep Learning

Mohamed Khedir Noraldain Alamin
2021 Journal of Karary University for Engineering and Science  
RCS characteristics, the detection is a challenge in low RCS targets because the chance of detection is incredibly less moreover, in the existence of interference and clutter which reduce the performance  ...  The small Radar cross-section (RCS) foot-print makes a problem for Traditional methods and Aero-vehicle Defense systems to distinguish between birds, stealth fighters, and UAVs incomparable of size and  ...  Li etal developed two new detectors based on Rao and Wald criteria using an ad hoc design procedure for adaptive detection of moving target with multiple-input multiple-output (MIMO) radar in heterogeneous  ... 
doi:10.54388/jkues.v1i2.51 fatcat:ycroy37tvbcvtninzf5u6g4pfe

Table of Contents

2021 IEEE Transactions on Signal Processing  
So Over-the-Air Federated Learning From Heterogeneous Data . . . . . . . . . . T. Sery, N. Shlezinger, K. Cohen, and Y. C.  ...  Adaptive Radar Detection in Low-Rank Heterogeneous Clutter via Invariance Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tsp.2021.3136798 fatcat:kzkdhzcz3fgx3jv6gfjofooseq

Table of Contents

2021 IEEE Transactions on Signal Processing  
Gain in Distributed MIMO Radar . . . . . ...M.  ...  Yu Over-the-Air Federated Learning From Heterogeneous Data . . . . . . . . . . T. Sery, N. Shlezinger, K. Cohen, and Y. C.  ... 
doi:10.1109/tsp.2021.3136800 fatcat:zhf46mb3rbdlnnh3u2xizgxof4

Review and Simulation of Counter-UAS Sensors for Unmanned Traffic Management

Juan A. Besada, Ivan Campaña, David Carramiñana, Luca Bergesio, Gonzalo de Miguel
2021 Sensors  
The models were integrated in a UTM simulation platform and simulation results are included in the paper for active radars, passive radars, and acoustic sensors.  ...  This paper aims to discuss the current state-of-the art technology in this wide variety of sensors (both academically and commercially) and to propose a set of simulation models for them.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22010189 pmid:35009730 pmcid:PMC8747651 fatcat:idp4silfkffljlvf5nrfzjo2pq

Table of Contents [EDICS]

2020 IEEE Transactions on Signal Processing  
Utschick 6467 Joint Design of Surveillance Radar and MIMO Communication in Cluttered Environments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Comon 2682 A Tensor-Based Approach to Joint Channel Estimation/Data Detection in Flexible Multicarrier MIMO Systems . X. Fu, J. Wang, and M.  ...  Fan 4700 Tunable Adaptive Target Detection With Kernels in Colocated MIMO Radar . . . . . . . . . . . . . . . . . . .A. Zaimbashi and J.  ... 
doi:10.1109/tsp.2020.3045363 fatcat:wcnvdcy3rvhblh7rtxfe6gz4re

Passive MIMO Radar Detection with Unknown Colored Gaussian Noise

Yongjun Liu, Guisheng Liao, Haichuan Li, Shengqi Zhu, Yachao Li, Yingzeng Yin
2021 Remote Sensing  
The target detection of the passive multiple-input multiple-output (MIMO) radar that is comprised of multiple illuminators of opportunity and multiple receivers is investigated in this paper.  ...  In the passive MIMO radar, the transmitted signals of illuminators of opportunity are totally unknown, and the received signals are contaminated by the colored Gaussian noise with an unknown covariance  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their valuable and useful comments and suggestions that helped improve the paper.  ... 
doi:10.3390/rs13142708 fatcat:cta2ff2qkrdjllwc7nj7sclwui

Table of Contents

2020 IEEE Transactions on Signal Processing  
Utschick 2529 Efficient Closed-Form Solution for Moving Target Localization in MIMO Radars With Minimum Number of Antennas .  ...  Kim 1964 MIMO Radar Waveform Design in the Presence of Multiple Targets and Practical Constraints . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tsp.2020.3042287 fatcat:nh7viihaozhd7li3txtadnx5ui


2019 2019 International Conference on Control, Automation and Information Sciences (ICCAIS)  
The data collected by a multistatic Doppler radar system includes information on both true targets and clutter.  ...  However, because the unknown electromagnetic environment can not support us to select the input of training data, the inputs of training data are nonuniform, which would result in the unexpected performance  ...  In our proposed framework, the state detection of the elevator door is first implemented by an improved ViBe algorithm; afterwards, a trained deep learning model, i.e., an SSD_MobileNet model, is utilized  ... 
doi:10.1109/iccais46528.2019.9074650 fatcat:f3libdixzvez3kaeyb5dubekrq

Target localization methods for frequency-only MIMO radar

Yilmaz Kalkan, Buyurman Baykal
2010 2010 IEEE 18th Signal Processing and Communications Applications Conference  
While in a general sense, MIMO radar can be viewed as a type of multistatic radars, the separate nomenclature suggests unique features that set MIMO radar apart from the multistatic radar literature and  ...  This is the one adventage of the multistatic or MIMO radars with widely separated anttennas.  ... 
doi:10.1109/siu.2010.5651108 fatcat:a2hyn7uh6jc6fb7aju5suf2pci

2021 Index IEEE Transactions on Signal Processing Vol. 69

2021 IEEE Transactions on Signal Processing  
Note that the item title is found only under the primary entry in the Author Index.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, TSP 2021 5175-5188 Data handling Maximizing the Partial Decode-and-Forward Rate in the Gaussian MIMO Relay Channel.  ... 
doi:10.1109/tsp.2022.3162899 fatcat:kcubj566gzb4zkj7xb5r5we3ri

2019 Index IEEE Transactions on Signal Processing Vol. 67

2019 IEEE Transactions on Signal Processing  
Liu, J., +,TSP July 15, 2019 3639-3648 Robust Detection in MIMO Radar With Steering Vector Mismatches. Liu, J., Compressed Training Based Massive MIMO.  ...  Testing the Structure of a Gaussian Graphical Model With Reduced Transmissions in a Distributed Setting.  ...  M Machine bearings Quickest Change Detection in the Presence of a Nuisance Change. Lau, T.S., +, TSP Oct. 15  ... 
doi:10.1109/tsp.2020.2968163 fatcat:dvvpqntb2rc2bjed5nnk4xora4

Overview of the International Radar Symposium Best Papers, 2019, Ulm, Germany

István Balajti
2020 Repüléstudományi közlemények  
Nowadays, the interference cancellation or mitigation plays a key important role in the effective use of the advanced radar technology.  ...  In civilian applications, the inter-radar interference of automotive radars is an emerging problem for automotive radar applications in case of dense deployment.  ...  Measurement results are depicted in Figure 22 [15] The results obtained confirm that photonics is an effective technology for coherent MIMO radars with widely distributed antennas.  ... 
doi:10.32560/rk.2019.3.553 fatcat:xwc6fasq7bah5j7tf7lctlpuki
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