A Novel Algorithm for Moving/Fixed Target Discrimination in 77 GHz Automotive Radars

Mabrouk, Mohamed; Abdullah, Haythem H.; Hussein, Kamal; Hussein, Amr H.

doi:10.1109/piers-fall48861.2019.9021394

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…In 2018 [ 4 ], authors have demonstrated that with the bandwidth of 1 GHz or more, the resolutions of detected target are significantly improved as compared to lower bandwidth range (≈200 MHz). In 2019 [ 21 ], authors have presented algorithm for detecting the moving targets with the help of 77 GHz automotive radar. In this work, authors have used constant false alarm rate (CFAR) and adjustable coefficient by using the Fast Fourier Transform (FFT) algorithm technique.…”

Section: Introductionmentioning

confidence: 99%

Coherent detection-based photonic radar for autonomous vehicles under diverse weather conditions

et al. 2021

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Autonomous vehicles are regarded as future transport mechanisms that drive the vehicles without the need of drivers. The photonic-based radar technology is a promising candidate for delivering attractive applications to autonomous vehicles such as self-parking assistance, navigation, recognition of traffic environment, etc. Alternatively, microwave radars are not able to meet the demand of next-generation autonomous vehicles due to its limited bandwidth availability. Moreover, the performance of microwave radars is limited by atmospheric fluctuation which causes severe attenuation at higher frequencies. In this work, we have developed coherent-based frequency-modulated photonic radar to detect target locations with longer distance. Furthermore, the performance of the proposed photonic radar is investigated under the impact of various atmospheric weather conditions, particularly fog and rain. The reported results show the achievement of significant signal to noise ratio (SNR) and received power of reflected echoes from the target for the proposed photonic radar under the influence of bad weather conditions. Moreover, a conventional radar is designed to establish the effectiveness of the proposed photonic radar by considering similar parameters such as frequency and sweep time.

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Section: Introductionmentioning

confidence: 99%

Coherent detection-based photonic radar for autonomous vehicles under diverse weather conditions

et al. 2021

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“…However, the system is not investigated under the real environment scenario, which limits its real-time application capabilities. In Refs [30,48], many others have proposed the FMCW photonic radar system operating at W-band (75-110 GHz), which is widely used for automotive vehicle radar systems and is investigated under adverse weather conditions such as haze, fog, and rain that limit the detection range performance and precision of the system. In addition, various atmospheric attenuations and effects of solar background noise on the photonic radar system have also been reported by some authors in [37,49].…”

Section: Resultsmentioning

confidence: 99%

“…In addition, FMCW photonic radar systems to detect naval targets in the S-band and X-band with the help of low sample rates based on the analogto-digital converter are reported in [28]. The Ka band (27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40) is used for short-range applications such as at airports, since it is highly affected by atmospheric attenuation [27]. The 24 GHz signal is used for the automotive cruise control system in cars, but due to other reserved applications such as industrial and medical application and limited bandwidth with low resolution [29] nowadays, 77 GHz RF-LFM signals are highly preferred by many manufacturers for autonomous vehicle radars as it offers higher bandwidth of approximately 4 GHz compared to 24 GHz signal, which improves range and velocity resolution [16,17,30].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of the coherent FMCW photonic radar system under the influence of solar noise

2023

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The real-time high-resolution target detection in radar applications has increased the demand for photonic radar systems due to their higher bandwidth and faster processing capabilities over conventional microwave radar. Additionally, photonic-based radar technology can revolutionize the limited performance of conventional microwave radar caused by various atmospheric attenuations. This article presents a frequency-modulated continuous-wave photonic radar system using coherent detection. The performance of the proposed system is theoretically investigated under the effect of various real-time atmospheric weather attenuations and the influence of solar background noise, which is further verified on the simulation platform. This study is conducted under different atmospheric weather conditions, such as clear, haze, and fog, to highlight the practical limitation of free-space links in the presence of solar background noise. The detected signal at different target ranges with and without solar noise is measured and then compared in terms of signal-to-noise ratio. Furthermore, the impact of solar noise on the system performance when the Sun is under different sky conditions and zenithal angles is also analyzed. The results presented here provide insights into designing photonic radar systems for practical applications like autonomous vehicle radar systems, self-traffic control, and navigation.

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Performance enhancement of photonic radar sensor for detecting multiple targets by incorporating mode division multiplexing

Sharma

Malhotra²

2022

Opt Quant Electron

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A Novel Algorithm for Moving/Fixed Target Discrimination in 77 GHz Automotive Radars

Cited by 3 publications

References 6 publications

Coherent detection-based photonic radar for autonomous vehicles under diverse weather conditions

Coherent detection-based photonic radar for autonomous vehicles under diverse weather conditions

Performance analysis of the coherent FMCW photonic radar system under the influence of solar noise

Performance enhancement of photonic radar sensor for detecting multiple targets by incorporating mode division multiplexing

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