Performance of a Linear-Detector Joint Radar-Communication System in Doubly Selective Channels

Harper, Andrew D.; Reed, Jeremy; Odom, Jonathan L.; Lanterman, Aaron D.; Ma, Xiaoli

doi:10.1109/taes.2017.2664481

Cited by 18 publications

(9 citation statements)

References 22 publications

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“…For radar, one feasible method is to treat a known radar waveform as a shared pilot in both radar and communication systems. The pilot-aided approach can estimate all the channel information between radar and communication users [ 38 ]. Another approach is to embed the same pilot signal in both the radar coherence interval and communication frames [ 7 ].…”

Section: Generalized Multicarrier Radar-communication Coexistence Modelmentioning

confidence: 99%

“…Bliss et al presented cooperative joint radar-communications inner bounds in [ 34 , 35 , 36 ] and extended this concept to MIMO systems [ 37 ]. Radar waveforms can be embedded as a pilot signal of communication systems in a doubly selective channel for detection and channel state estimation [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

“…Bliss et al presented cooperative joint radar-communications inner bounds in [34][35][36] and extended this concept to MIMO systems [37]. Radar waveforms can be embedded as a pilot signal for communication systems in a doubly selective channel for detection and channel state estimation [38]. From our perspective, this work belongs to cooperative designs due to the limited information exchange, although we aim to suppress the interference via precoder-decoder co-designs.…”

mentioning

confidence: 99%

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Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing

Cui

Koivunen

Jing

2022

Sensors

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The coexistence of radar and communication systems is necessary to facilitate new wireless systems and services due to the shortage of the useful radio spectrum. Moreover, changes in spectrum regulation will be introduced in which the spectrum is allocated in larger chunks and different radio systems need to share the spectrum. For example, 5G NR, LTE and Wi-Fi systems have to share the spectrum with S-band radars. Managing interference is a key task in coexistence scenarios. Cognitive radio and radar technologies facilitate using the spectrum in a flexible manner and sharing channel awareness between the two subsystems. In this paper, we propose a nullspace-based joint precoder–decoder design for coexisting multicarrier radar and multiuser multicarrier communication systems. The maximizing signal interference noise ratio (max-SINR) criterion and interference alignment (IA) constraints are employed in finding the precoder and decoder. By taking advantage of IA theory, a maximum degree of freedom upper bound for the K+1-radar-communication-user interference channel can be achieved. Our simulation studies demonstrate that interference can be practically fully canceled in both communication and radar systems. This leads to improved detection performance in radar and a higher rate in communication subsystems. A significant performance gain over a nullspace-based precoder-only design is also obtained.

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Section: Generalized Multicarrier Radar-communication Coexistence Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing

Cui

Koivunen

Jing

2022

Sensors

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“…Similar to the facility-based methods, an optimal power allocation strategy for leveraging the probability of false alarm and the communication rate, which is represented by bits per symbol, was studied in a joint bistatic radar and communication system [109]. Furthermore, a low complexity linear minimum mean square error optimal pilot symbol aided modulation scheme was proposed to enable performance analysis in the same scenario but with single-input single-output (SISO) bistatic radar [110]. Besides, the target localization Cramer-Rao bound and mutual information in a MIMO radar and a distributed MIMO communication system was studied in [111], and the results show that there is a performance gain due to the cooperation in a dual-function system.…”

Section: Cooperationmentioning

confidence: 99%

Joint radar and communication: A survey

et al. 2020

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Joint radar and communication (JRC) technology has become important for civil and military applications for decades. This paper introduces the concepts, characteristics and advantages of JRC technology, presenting the typical applications that have benefited from JRC technology currently and in the future. This paper explores the state-of-the-art of JRC in the levels of coexistence, cooperation, co-design and collaboration. Compared to previous surveys, this paper reviews the entire trends that drive the development of radar sensing and wireless communication using JRC. Specifically, we explore an open research issue on radar and communication operating with mutual benefits based on collaboration, which represents the fourth stage of JRC evolution. This paper provides useful perspectives for future researches of JRC technology.

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“…Nevertheless, we mainly focus on the main lobe at this stage. Training signal is used for channel estimation in communication system [7], and it can be modified for target detection [8]. In this way, the detection process is operated without the knowledge of the embedded information because the data signal and the training signal are separated by guard interval.…”

Section: Introductionmentioning

confidence: 99%

A Novel Bistatic Joint Radar-Communication System in Multi-path Environments

Yuan

Shi

Liu

et al. 2020

2020 12th International Conference on Communication Software and Networks (ICCSN)

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Radar detection and communication can be operated simultaneously in joint radar-communication (JRC) system. In this paper, we propose a bistatic JRC system which is applicable in multi-path environments. Basing on a novel joint waveform, a joint detection process is designed for both target detection and channel estimation. Meanwhile, a low-cost channel equalization method that utilizes the channel state information acquired from the detection process is proposed. The numerical results show that the symbol error rate (SER) of the proposed system is similar to that of the binary frequency shift keying system, and the signal to noise ratio requirement in multi-path environments is less than 2 dB higher compared with that in single-path environment to reach a SER of 10 -5 . Besides, the knowledge of the embedded information is not required for the joint detection process and the detection performance is robust to unknown information.

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Performance of a Linear-Detector Joint Radar-Communication System in Doubly Selective Channels

Cited by 18 publications

References 22 publications

Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing

Precoder and Decoder Co-Designs for Radar and Communication Spectrum Sharing

Joint radar and communication: A survey

A Novel Bistatic Joint Radar-Communication System in Multi-path Environments

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