Joint Radar-Communication Relying on NLFM-MSK Design

Ma, Hao; Wang, Jun; Sun, Xiaoying; Hou, Tianwei; Jin, Wenxin

doi:10.1155/2022/4711132

Cited by 2 publications

(3 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In consequence, we are working on the extension of our PMCW-CDMA-based model to also provide other JCRS models based on additional waveforms. Examples of such JCRS systems can be found for OFDM in [84], [85], linear frequency modulation in [86], and combined waveforms like flexible sensing implanted-OFDM or orthogonal time frequency space in [87] and [13], respectively. And they are extended by space-frequency modulated co-designs, as proposed by Wang et al in [88].…”

Section: Discussionmentioning

confidence: 99%

Evaluating RF Hardware Characteristics for Automotive JCRS Systems Based on PMCW-CDMA at 77GHz

Lübke¹,

Su²,

Franchi³

2023

IEEE Access

View full text Add to dashboard Cite

Joint communications and radar sensing (JCRS) applications are currently being hailed as the innovation of the next generation of mobile communications. The combination of communications and sensor technology on one hardware platform offers various advantages, such as significant savings in space and costs. The two technologies are no longer being optimized and developed side by side, as has been the case in the past, but jointly. The physical channel is used by both simultaneously, including the transmitter and receiver structures, which must be optimized for the combined application. This inevitably leads to an influence on the performance of both systems. In this work, this influence is considered and analyzed with respect to the effects of the radio frequency components. For this purpose, our previously published code-division multiple access (CDMA)-based and vehicle-to-vehicle-focused model is extended to a JCRS model and evaluated according to the achieved bit error rate as well as the mean deviation of the detected distance and velocity in Simulink. The influence of the non-ideal hardware components (mixers, power amplifier, low noise amplifier, filter, antenna) and characteristics (S-parameters, non-linearity of the amplifiers and the noise) on the sensing and communications are analyzed and compared in this automotive context. The results reveal that the noise of the low noise amplifier at the receiver side has the most decisive influence. In contrast, the noise generated by the power amplifier at the transmitter has no effect due to the relatively high signal power. The non-linearity of amplifiers at the transmitter also significantly impacts the available sensing range by limiting and compressing signal power. Besides, the phase noise with a frequency offset higher than 10 MHz can increase the communications and sensing error rate. In contrast, the influence of S-parameters is negligible, as the performance of communications and sensing is almost unchanged with different S-parameters. In the future, the proposed single-target scene will be further extended to a multi-target one.INDEX TERMS CDMA, connected vehicles, joint communications and radar sensing, RF hardware characteristics, modeling, physical layer, PMCW, 77 GHz.

show abstract

Section: Discussionmentioning

confidence: 99%

Evaluating RF Hardware Characteristics for Automotive JCRS Systems Based on PMCW-CDMA at 77GHz

Lübke¹,

Su²,

Franchi³

2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The increasing scarcity of spectrum resources has gradually become an important issue in the development of modern wireless communication technology with the advent of 5G and the dramatic increase in wireless communication terminals [1][2][3]. In this application environment of scarce spectrum resources, the study of reusing existing spectrum resources has become a hotspot of current research.…”

Section: Introductionmentioning

confidence: 99%

“…Key technologies include pre-coding design, receive anti-interference design, and dualsignal sesidetion at the receiving end. (3) The complete integration mechanism utilizes the same hardware resources, spectrum resources, and waveform design for both radar and communication. There is no distinction between the two in terms of the time and frequency domains.…”

Section: Introductionmentioning

confidence: 99%

Multi-Beam Radar Communication Integrated System Design

Ma,

Wang,

Sun

et al. 2023

Information

View full text Add to dashboard Cite

In this paper, we propose a multi-beam integrated radar and communication scheme using phased-array antenna, in which the same LFM-BPSK integrated waveform is used for both the radar and the communication beams. In the integrated beam design, the radar beam is periodically scanned in different directions for detection, and the communication beam is periodically manipulated in one direction for communication. The system’s beamforming uses adaptive beamforming technology to achieve radar echoes and communication reception. For the LFM-BPSK integrated waveform used by the system, we propose a method for estimating parameters during communication reception. Through simulation, the proposed beam-pattern design, adaptive beamforming, and parameter estimation scheme can achieve radar and communication functions using phased-array antennas.

show abstract

Joint Radar-Communication Relying on NLFM-MSK Design

Cited by 2 publications

References 33 publications

Evaluating RF Hardware Characteristics for Automotive JCRS Systems Based on PMCW-CDMA at 77GHz

Evaluating RF Hardware Characteristics for Automotive JCRS Systems Based on PMCW-CDMA at 77GHz

Multi-Beam Radar Communication Integrated System Design

Contact Info

Product

Resources

About