Comparison of ZF and MF filters through PSLR and ISLR assessment in automotive OFDM radar

Benmeziane, Bochra; Baudais, Jean-Yves; Méric, Stéphane; Cinglant, Kevin

doi:10.23919/eurad50154.2022.9784509

Cited by 5 publications

(9 citation statements)

References 5 publications

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“…and the power of the constellations is normalised to 1. Some numerical values of the constellation parameters are given in [28]. The number of considered OFDM symbols in a frame is 1, since there is no slow time radar signal processing in our analysis.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Doppler Robustness of Joint Communication and Radar Systems Using the Wiener Filter

Baudais

Méric

Benmeziane

et al. 2023

IEEE Trans. Commun.

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The orthogonal frequency-division multiplexing (OFDM) is a promising waveform for joint radar and communication systems. In this article, a unified approach is proposed to analyse both radar and communication robustness with respect to Doppler mismatch. The analytical study leads to an expression that links the radar performance to the communication one. The performance of a delay-Doppler radar is quantified by modelling the delay response of the OFDM radar with an appropriate random variable. Different delay filters are analysed, among which the Wiener filter. The analytical results are validated by simulations, they show that the radar system benefits from the Wiener filter, and the configurations where this filter outperforms the other ones are outlined.

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Section: Simulation Resultsmentioning

confidence: 99%

“…4. The simulation results are given by (28) and the analytical ones are obtained with Proposition 11. The curves confirm 1) The accuracy of our analytical developments;…”

Section: Simulation Resultsmentioning

confidence: 99%

Doppler Robustness of Joint Communication and Radar Systems Using the Wiener Filter

Baudais

Méric

Benmeziane

et al. 2023

IEEE Trans. Commun.

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“…The principle is to divide the received symbols A r (µN c + n) by the emitted symbols A(µN c + n) to recover the impulse response of the propagation channel carrying the target range and Doppler information. This method shows better performances in terms of peak-to-sidelobe ratio than the traditional matched filtering [21]. The frequency domain channel function transfer is so…”

Section: B Ofdm Radarmentioning

confidence: 99%

“…We take dc = 1 for FMCW radar. The current automotive corner radar range resolution requires ∆R = 0.3 m which leads to N c = 334 according to (21) for OFDM. This corresponds to a signal bandwidth of 500.67 MHz like for FMCW Finally, a velocity resolution ∆V = 0.15 m s −1 is suitable for the automotive radar applications.…”

Section: A Simulation Parametersmentioning

confidence: 99%

Vehicular Communications Over OFDM Radar Sensing in the 77 GHz mmWave Band

et al. 2023

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Radar detection and vehicle-to-everything (V2X) communication are two advanced driverassistance system (ADAS) functions used to improve the safety of the road users and their driving experience. However, the proliferation of radars on vehicles and the functionalities expected for V2X cause several issues like interference and insufficient communication flow. To address these challenges and optimize the use of the electromagnetic spectrum, the mutualization of communication and radar detection functions in the same component using millimeter-wave (mmWave) is proposed. As orthogonal frequency-division multiplexing (OFDM) waveform seems to be the most suitable waveform to enable this cooperation, we propose to investigate the performance of OFDM radar compared to that of current frequency-modulated continuous wave (FMCW) radar. We simulate and analyse the signal-to-noise ratio (SNR) and the probability of detection (PD) of OFDM radar based on the parameters of a current mid-range automotive FMCW corner radar. We observe that FMCW radar has better SNR and PD than OFDM radar under these conditions. However, by applying a coherent integration scheme on receive, the results obtained show that good performance of OFDM radar can be achieved. To check the effect of the parameters used on the communication performance, we provide graphs of the Bit Error Rate (BER). These graphs show that the BER do not suffer from these parameters but rather that they can be beneficial to the communication.

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“…It is assumed that N is large enough to verify . However, this first approximation is not tight enough, as shown in [5]. We then need to use the second order.…”

Section: Received Signal With Conventional Filtersmentioning

confidence: 99%

MF, ZF, and MMSE filters for automotive OFDM radar

Benmeziane,

Baudais,

Méric

et al. 2023

Int. J. Microw. Wireless Technol.

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The delay estimation for orthogonal frequency division multiplexing automotive radars can be achieved through the use of different filters. This paper compares two of these filters, namely the matched filter and the zero forcing filter through two metrics, which are the peak to side lobe ratio and the integrated side lobe ratio estimated on their range profiles. The analysis is then extended to the minimum mean squared error filter.

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Comparison of ZF and MF filters through PSLR and ISLR assessment in automotive OFDM radar

Cited by 5 publications

References 5 publications

Doppler Robustness of Joint Communication and Radar Systems Using the Wiener Filter

Doppler Robustness of Joint Communication and Radar Systems Using the Wiener Filter

Vehicular Communications Over OFDM Radar Sensing in the 77 GHz mmWave Band

MF, ZF, and MMSE filters for automotive OFDM radar

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