Results 61 to 70 of about 104,290 (247)

Performance Analysis of Joint Radar-Communication System Based on FDA-MIMO Radar

IEEE Access
Faced with the increasingly complicated electromagnetic environment, the joint design of radar and communication system has been an effective solution to save spectrum resources and reduce the complexity of system hardware.
Mengjiao Li, Wen-Qin Wang
doaj   +1 more source

Multistatic Cloud Radar Systems: Joint Sensing and Communication Design

, 2016
In a multistatic cloud radar system, receive sensors measure signals sent by a transmit element and reflected from a target and possibly clutter, in the presence of interference and noise.
Haimovich, Alexander, Jeong, Seongah, Kang, Joonhyuk, Khalili, Shahrouz, Simeone, Osvaldo   +4 more
core   +1 more source

Joint Radar-Communications Processing from A Dual-Blind Deconvolution Perspective

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
5 pages, 2 figures, submitted to ICASSP ...
Vargas, Edwin, Mishra, Kumar Vijay, Jacome, Roman, Sadler, Brian M., Arguello, Henry   +4 more
openaire   +2 more sources

Transceiver Design for an FDA-MIMO Radar and MIMO Communication Spectral Coexistence System

Leida xuebao
When radar and communication systems share the same frequency spectrum on the same platform, mutual interference may occur. In addition, mainlobe deceptive interferences pose a serious threat to radar target detection.
Qihang XU, Lan LAN, Guisheng LIAO, Kewei WANG, Tongxing ZHENG   +4 more
doaj   +1 more source

Novel Cooperative Scheme Based on Joint Band Assignment and Power Allocation for a Coexisting Radar-Communications System

Sensors, 2021
In this paper, we present a novel cooperative scheme of joint optimal resource allocation, such that the overall performance of the coexisting radar-communications (CRC) system can be improved.
Yufeng Chen, Guisheng Liao, Zhiwei Yang, Yongjun Liu, Mengchao Jiang   +4 more
doaj   +1 more source

Adaptive Interference Removal for Un-coordinated Radar/Communication Co-existence

, 2017
Most existing approaches to co-existing communication/radar systems assume that the radar and communication systems are coordinated, i.e., they share information, such as relative position, transmitted waveforms and channel state.
Lops, Marco, Wang, Xiaodong, Zheng, Le
core   +1 more source

Multi-Dimensional Dual-Blind Deconvolution Approach Toward Joint Radar-Communications

2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC), 2022
We consider a joint multiple-antenna radar-communications system in a co-existence scenario. Contrary to conventional applications, wherein at least the radar waveform and communications channel are known or estimated \textit{a priori}, we investigate the case when the channels and transmit signals of both systems are unknown.
Jacome, Roman, Mishra, Kumar Vijay, Vargas, Edwin, Sadler, Brian M., Arguello, Henry   +4 more
openaire   +2 more sources

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Optimization of Network Throughput of Joint Radar Communication System Using Stochastic Geometry

Frontiers in Signal Processing, 2022
Recently joint radar communication (JRC) systems have gained considerable interest for several applications such as vehicular communications, indoor localization and activity recognition, covert military communications, and satellite based remote sensing.
Shobha Sundar Ram, Shubhi Singhal, Gourab Ghatak   +2 more
doaj   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source