An Approximate Maximum Likelihood Method for the Joint Estimation of Range and Doppler of Multiple Targets in OFDM-Based Radar Systems

Mirabella, Michele; Viesti, Pasquale Di; Davoli, Alessandro; Vitetta, G.M.

doi:10.1109/tcomm.2023.3280562

Cited by 10 publications

(2 citation statements)

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“…According to (9), we can conveniently evaluate τ by computing the N c -points inverse discrete Fourier transform (IDFT) of (7) along each row of Y. In a similar way, the determination of f d can be solved by applying a N s -points DFT along each column of Y.…”

Section: Isac Signal Model With Ofdm Waveformmentioning

confidence: 99%

“…The main research work on ISAC is how to design the waveform to obtain good performance of both sensing and communication. Generally, the waveform design of ISAC can be mainly divided into three categories: sensing-centered [9,10], communicationcentered [11,12], and joint design [13,14]. The sensing-centered methods add communication functions by reusing the existed sensing system.…”

Section: Introductionmentioning

confidence: 99%

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Dual-Pulse Repeated Frequency Waveform Design of Time-Division Integrated Sensing and Communication Based on a 5G New Radio Communication System

Chu,

Yang,

Zheng

2023

Sensors

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With the development of 5G communication systems, it is a hot topic to embed integrated sensing and communication (ISAC) based on the existing 5G base station by sharing the hardware and the same frequency spectrum. In this paper, we propose a dual pulse repeated frequency (dual-PRF) waveform design of time-division ISAC (TD-ISAC) based on a 5G new radio (NR) communication system using downlink communication slots. We choose time-division mode to design waveform to avoid the interference between sensing and communication. Embedding sensing functions in a 5G NR system, we design a dual-PRF sensing slot to satisfy the constraints of common channel and uplink communication. Considering two uplink modes, namely flexible and fixed, we design two dual-PRF waveforms and illustrate the sensing theory performance of the designed waveform by the ambiguity function. Then, we exploit the designed waveform to the vehicle parameter estimation. To verify that the designed waveform has good adaptability to different signal processing methods, we realize the parameter estimation by two types of methods: the discrete Fourier transformation-based method and the compressed sensing-based method. At last, we verify the effectiveness of the designed waveform system by simulation experiments and real traffic scenarios.

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Section: Isac Signal Model With Ofdm Waveformmentioning

confidence: 99%