scispace - formally typeset
Search or ask a question
Proceedings ArticleDOI

Radar-communication integration: An overview

01 Nov 2014-pp 98-103
TL;DR: Main approaches including time-sharing, sub-beams and signal-sharing are shown, and the most promising signal- Sharing approach is detailed discussed with its three typical realizations.
Abstract: Radar-communication integration combines radar system and communication system together These two systems have similar structures, and communication system can take advantage of radar's excellent hardware features if integrated This technique is still under study and may take decades to achieve practical application The motivation of such integration is presented in the beginning of this paper Main approaches including time-sharing, sub-beams and signal-sharing are shown, and the most promising signal-sharing approach is detailed discussed with its three typical realizations Characteristics, including advantages and disadvantages of these approaches are also analyzed Three typical integration application scenarios are described in the end of this paper
Citations
More filters
Journal ArticleDOI
TL;DR: This paper explores the state-of-the-art of JRC in the levels of coexistence, cooperation, co-design and collaboration, and reviews the entire trends that drive the development of radar sensing and wireless communication using JRC.
Abstract: 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.

167 citations

Journal ArticleDOI
01 Jan 2022
TL;DR: In this paper , the authors provide a comprehensive survey on the fundamental limits of integrated sensing and communication (ISAC), and summarize the major performance metrics and bounds used in sensing, communications and ISAC, respectively.
Abstract: The integrated sensing and communication (ISAC), in which the sensing and communication share the same frequency band and hardware, has emerged as a key technology in future wireless systems due to two main reasons. First, many important application scenarios in fifth generation (5G) and beyond, such as autonomous vehicles, Wi-Fi sensing and extended reality, requires both high-performance sensing and wireless communications. Second, with millimeter wave and massive multiple-input multiple-output (MIMO) technologies widely employed in 5G and beyond, the future communication signals tend to have high-resolution in both time and angular domain, opening up the possibility for ISAC. As such, ISAC has attracted tremendous research interest and attentions in both academia and industry. Early works on ISAC have been focused on the design, analysis and optimization of practical ISAC technologies for various ISAC systems. While this line of works are necessary, it is equally important to study the fundamental limits of ISAC in order to understand the gap between the current state-of-the-art technologies and the performance limits, and provide useful insights and guidance for the development of better ISAC technologies that can approach the performance limits. In this paper, we aim to provide a comprehensive survey for the current research progress on the fundamental limits of ISAC. Particularly, we first propose a systematic classification method for both traditional radio sensing (such as radar sensing and wireless localization) and ISAC so that they can be naturally incorporated into a unified framework. Then we summarize the major performance metrics and bounds used in sensing, communications and ISAC, respectively. After that, we present the current research progresses on fundamental limits of each class of the traditional sensing and ISAC systems. Finally, the open problems and future research directions are discussed.

68 citations

Journal ArticleDOI
TL;DR: Results demonstrate that the proposed FrFT waveform presents performance close to a LFM pulse in terms of probability of detection and probability of false alarm, in exchange for slightly worse range and Doppler resolution, to maintain comparable communication performance with respect to the OFDM waveform.

43 citations


Cites background from "Radar-communication integration: An..."

  • ...Examples are vehicles in an Intelligent Transportation System (ITS) that need to share information in a rapidly changing environment [1]; Synthetic Aperture Radar (SAR) systems that need to share sensed data with ground stations [2]; nodes in a Multiple-Input Multiple-Output (MIMO) radar system for the purposes of surveillance or navigation aid [3]....

    [...]

Journal ArticleDOI
TL;DR: A system architecture for industrial big data (BD) transmission based on radar-communication integration with arbitrary geometrical array is developed and it is shown that the proposed method can achieve excellent estimation performance for its application in radar- communication integration.
Abstract: Various kinds of data are generated from industrial Internet of Things, and these data can be applied for connecting production equipment, identifying and locating items, etc. These data should be forwarded to the decision center for further analyses, especially in wartime. Thus, the channel status information (CSI) for industrial big data transmission has to be acquired. In this article, we develop a system architecture for industrial big data (BD) transmission based on radar-communication integration with arbitrary geometrical array. The traditional channel estimation method, which usually utilizes the regular antenna array to estimate the CSI, cannot be applied to the arbitrary geometrical array. Here, we use the manifold separation technique to transform the complex array configuration into regular array and the downlink channel covariance matrix is estimated by exploiting the frequency calibration technique when the uplink channel covariance matrix is received. The computational complexity for the proposed method and other state-of-the-art methods are analyzed. The simulation results prove that the proposed method can achieve excellent estimation performance for its application in radar-communication integration.

33 citations


Additional excerpts

  • ...This is obviously not suitable for radar-communication integration with arbitrary geometrical array [5], [11]....

    [...]

  • ...Therefore, as a curial technology for wireless communication, we can use channel parameter estimation to support the reliable BD transmission in radar-communication integration [5], [6], [10]....

    [...]

  • ...However, this is obviously not suitable for radar-communication integration whose phased array may be equipped with arbitrary geometrical array [5], [11]....

    [...]

  • ...These two systems have similar structures, and communication system can take advantage of radar sensor’s excellent hardware features if integrated [5], [6]....

    [...]

Proceedings ArticleDOI
Yu Zhang1, Qingyu Li1, Ling Huang1, Changyong Pan1, Jian Song1 
04 Jun 2017
TL;DR: Simulation results show that the modified waveform holds good bit error rate (BER) performance even when there is strong interference beside the original bandwidth of the radar system, while the waveform without modification can hardly complete the transmission with high BER.
Abstract: The integration of radar and communication has attracted general interest with its advantage of equipment miniaturizing and high efficiency of spectrum, especially in intelligent transportation systems because of the need for transmitting and detecting simultaneously and the lack of room for various devices. Among various integration schemes, the integrated waveform which realizes transmitting and detection at the same time is a real integration with high efficiency and no interference. In this paper, we proposed a modified three-section integrated waveform based on linear frequency modulation and continuous phase modulation (LFM-CPM). Short Time Fourier Transform (STFT) is used for time-frequency analysis and the modification of the mapping codebook of the communication symbols restrains the spectrum of the integrated waveform within the original bandwidth of the radar system. Simulation results show that the modified waveform holds good bit error rate (BER) performance even when there is strong interference beside the original bandwidth of the radar system, while the waveform without modification can hardly complete the transmission with high BER.

27 citations


Cites background from "Radar-communication integration: An..."

  • ...The integration of radar and communication has attracted widespread interest in recent years [1]–[5], with the advantage of reducing the interference of radar and communication systems, saving resources of hardware and promoting spectrum efficiency of the whole system, especially in intelligent transportation systems where the detecting and tracking of cars and barriers and the transmitting of information among the devices in the same network are needed at the same time....

    [...]

References
More filters
Journal ArticleDOI
TL;DR: This paper describes a proof-of-principle test-bed that is being developed to demonstrate the Advanced Multifunction Radio Frequency Concept, a wide-band generic active array antenna architecture that has the ability to transmit and receive multiple simultaneous independent beams for radar, EW, and communication functions.
Abstract: The goal of the Advanced Multifunction Radio Frequency Concept (AMRFC) Program is to demonstrate the integration of many sorts of shipboard RF functions including radar, communications, and electronic warfare (EW) utilizing a common set of broad-band array antennas, signal and data processing, signal generation, and display hardware. The AMRFC Program was launched in response to the growing number of topside antennas on U.S. Navy ships, which have almost doubled from the ships launched in the 1980s to those launched in the 1990s. The AMRFC Program seeks to develop and demonstrate a wide-band generic active array antenna architecture that has the ability to transmit and receive multiple simultaneous independent beams for radar, EW, and communication functions. This paper describes a proof-of-principle test-bed that is being developed to demonstrate the AMRFC.

311 citations


"Radar-communication integration: An..." refers background or methods in this paper

  • ...An aperture example of the project in [5] is shown in Fig....

    [...]

  • ...Take project in [5] as example, the receive array is divided into 3×3 namely 9 sub-arrays, and the transmit array is divided into 4×4 namely 16 sub-arrays....

    [...]

  • ...Reference [5] describes AMRFC project in detail, in which phased array radar is used for multiple purposes....

    [...]

17 Apr 2011
TL;DR: An overview of the OFDM joint radar and communication system concept, developed for automotive radar applications, using an OFDM- based signal, the range and Doppler estimation algorithm are independent of the payload data and overcomes the typical drawbacks of correlation-based processing.
Abstract: This paper presents an overview of the OFDM joint radar and communication system concept which has been developed for automotive radar applications. Using an OFDM- based signal, the range and Doppler estimation algorithm are independent of the payload data and overcomes the typical drawbacks of correlation-based processing. The derivation of parameters for the operation at 24 GHz suited for automotive applications are then shown. The system concept is then verified with MATLAB simulation and measurement. A brief description of the on-going work to adapt this system to a realistic multipath- multiuser environment along with simulation results are also presented.

77 citations


"Radar-communication integration: An..." refers background or methods in this paper

  • ...performing OFDM demodulation to echo signals, and the distance and speed of target can be obtained by performing inverse discrete Fourier transform (IDFT) [6,7]....

    [...]

  • ...In [6], some field tests are conducted for some simple target scene, and simple multipath problem is handled....

    [...]

  • ...Received data can be obtained by performing OFDM demodulation to echo signals, and the distance and speed of target can be obtained by performing inverse discrete Fourier transform (IDFT) [6,7]....

    [...]

Proceedings ArticleDOI
05 Sep 2008
TL;DR: It is shown that Oppermann codes can conceptually support integrated radar and communication systems as compared to the P1, P2, P3, P4, and Px codes where this is not readily feasible.
Abstract: The performance of conventional polyphase pulse compression codes such as the Frank, Frank-Zadoff-Chu (FZC), P1, P2, P3, P4, and Px codes will be compared with Oppermann codes. While the majority of the former code classes focus on radar applications, Oppermann codes have been discussed only within the context of code-division multiple-access (CDMA) systems. In this paper, we therefore consolidate findings on the conventional codes and extend the performance assessment to Oppermann codes by accounting for Doppler shifts as needed in radar applications. It is shown that Oppermann codes can con- ceptually support integrated radar and communication systems as compared to the P1, P2, P3, P4, and Px codes where this is not readily feasible. The numerical results given here illustrate that Oppermann codes outperform Px codes in the presence of Doppler shifts as supported by the ambiguity function.

19 citations

Journal ArticleDOI
TL;DR: This presents three valuable applications of scalable multifunction RF (SMRF) systems that allow radar, ESM, and communication functionality using a single front-end architecture based on a C-RAM scenario.
Abstract: This presents three valuable applications of scalable multifunction RF (SMRF) systems. These systems allow radar, ESM, and communication functionality using a single front-end architecture. With the use of a novel system design tool, concepts for SMRF architectures for airborne, ground-based and naval applications have been obtained based on a C-RAM scenario.

6 citations

Journal Article
TL;DR: The feasibility and its scheme of Radcom signal sharing based on the techniques of frequency division multi-carrier chirp signal,orthogonal frequency division multiplexing and spread spectrum are studied.
Abstract: Integration of Radar and Communication(Radcom) systems is one of the important research areas in multi-functional integrated radio frequency systems(MFIRFS).More attentions are paid to the integration of Radcom systems based on signal sharing,due to its maximum degree of integration.Considering that there exists some problems of signals being not compatible and having mutual interference in the signal design for the integration of Radcom systems,this paper studys the feasibility and its scheme of Radcom signal sharing based on the techniques of frequency division multi-carrier chirp signal,orthogonal frequency division multiplexing(OFDM) and spread spectrum,and makes an introductory analysis of detection of radar target echoes and demodulation of data with signal sharing,and certain basic problems of performance on integration of Radcom systems and others.

5 citations


"Radar-communication integration: An..." refers background or methods in this paper

  • ...performing OFDM demodulation to echo signals, and the distance and speed of target can be obtained by performing inverse discrete Fourier transform (IDFT) [6,7]....

    [...]

  • ...Received data can be obtained by performing OFDM demodulation to echo signals, and the distance and speed of target can be obtained by performing inverse discrete Fourier transform (IDFT) [6,7]....

    [...]

  • ...When the bandwidth overlap rate is less than 25%, the effect on signal detection can be ignored [7]....

    [...]