Integrated Radar and Communications Waveform Design Based on Multi-Symbol OFDM

Rong, Juan; Liu, Feifeng; Miao, Yingjie

doi:10.3390/rs14194705

Cited by 13 publications

(10 citation statements)

References 37 publications

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“…Besides, OFDM-based systems have the disadvantage of high dynamic range in the transmitted envelope power. Consequently, a poor peak-to-average power ratio (PAPR) is exhibited [33], [34]. The demands on the amplifiers are correspondingly high since a high dynamic range must be linearly amplified to avoid nonlinear distortion.…”

Section: A Discussion Of Jcrs Waveformmentioning

confidence: 99%

“…Especially, OFDM-based systems represent particularly interesting options. In this context, it has to be mentioned that the unfavorable behavior of OFDM regarding the PAPR is currently discussed in the literature and algorithms and approaches to reduce it are currently discussed [34], [89]. Further research in this area will form the basis for future work.…”

Section: Discussionmentioning

confidence: 99%

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

Lübke¹,

Su²,

Franchi³

2023

IEEE Access

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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.

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Section: A Discussion Of Jcrs Waveformmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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

Lübke¹,

Su²,

Franchi³

2023

IEEE Access

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“…CCDF represents the probability which PAPR of the OFDM symbol exceeds a prearranged threshold 𝑃𝐴𝑃𝑅 0 and mathematical formula for CCDF (PAPR) is given as Eq. (11),…”

Section: Paprmentioning

confidence: 99%

“…To fulfill high yield response, HPA is majorly processed near saturated areas [8][9][10]. If the PAPR value is maximized in OFDM, a distortion is obtained in channels and a high OFDM PAPR signal is obtained in multiple carrier modulation methods while summing several independent symbols [11].…”

Section: Introductionmentioning

confidence: 99%

Partial Transmit Sequence Chaotic Sand Cat Swarm Optimization Based Phase Optimizer for Peak-to-Average Power Ratio Reduction

2024

IJIES

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Orthogonal Frequency Division Multiplexing (OFDM) is the most significant transmission techniques that permits feasible modulation and demodulation. OFDM system is majorly affected by high Peak-to-Average Power Ratio (PAPR) values. To reduce this issue, this research proposed a Partial Transmit Sequence -Chaotic Sand Cat Swarm Optimization (PTS-CSCSO) technique of Cyclic Prefix-OFDM (CP-OFDM). To encode and decode the signal in the CP-OFDM system, the Space Time Block Coding (STBC) technique is utilized and for modulation and demodulation, the Quadrate Amplitude Modulation (QAM-16) is utilized. The PTS technique is utilized for PAPR reduction, in that phase factor is optimized by using the proposed PTS-CSCSO algorithm. The Additive White Gaussian Noise (AWGN) channel is utilized, that transmit the signal from transmitter to receiver. The performance of the proposed algorithm is evaluated with performance metrics of Bit Error Rate (BER), Symbol Error Rate (SER), and Complementary Cumulative Distribution Function (CCDF). The proposed algorithm attained a minimum BER of 10-8 which is superior to other existing methods like Prime Learning Ant Lion Optimization (PL-ALO) and Phase Optimizer-assisted Partial Transmit Sequence (PO-PTS).

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“…Existing works on OFDM waveform-based JCAS focus on waveform design to trade-off communication and sensing performances [7]- [9]. A typical scenario for JCAS application faces on vehicle-to-vehicle (V2V) networks, where the location and velocity of vehicles are estimated [9], [10]. Meanwhile, the Doppler and delay estimation methodologies with OFDM waveforms have been investigated in [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

Sensing with OFDM Waveform at mmWave Band Based on Micro-Doppler Analysis

Liu,

Gao,

Cui

et al. 2023

2023 IEEE International Conference on Communications Workshops (ICC Workshops)

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Joint communication and sensing (JCAS) technology has been regarded as one of the innovations in the 6G network. With the channel modeling proposed by the 3rd Generation Partnership Project (3GPP) TR 38.901, this paper investigates the sensing capability using the millimeter-wave (mmWave) band with an orthogonal frequency division multiplexing (OFDM) waveform. Based on micro-Doppler (MD) analysis, we present two case studies, i.e., fan speed detection and human activity recognition, to demonstrate the target modeling with micromotions, backscattering signal construction, and MD signature extraction using an OFDM waveform at 28 GHz. Simulated signatures demonstrate distinct fan rotation or human motion, and waveform parameters that affect the MD signature extraction are analyzed. Simulation results draw the validity of the proposed modeling and simulation methods, which also aim to facilitate the generation of data sets for various JCAS applications.

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Integrated Radar and Communications Waveform Design Based on Multi-Symbol OFDM

Cited by 13 publications

References 37 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

Partial Transmit Sequence Chaotic Sand Cat Swarm Optimization Based Phase Optimizer for Peak-to-Average Power Ratio Reduction

Sensing with OFDM Waveform at mmWave Band Based on Micro-Doppler Analysis

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