Geometric Sequence Decomposition-Based Interference Cancellation in Automotive Radar Systems

Lee, Woonghee; Lee, Seongwook

doi:10.1109/access.2022.3141543

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…where (15), it is easy to see that when α = π 2 , there is α (t, w) = 1 2π e −jwt . In this case, the fractional Fourier transform (FRFT) degenerates into the traditional Fourier transform, making FRFT an extension of the traditional Fourier transform.…”

Section: B Novel Short-time Fractional Fourier Transformmentioning

confidence: 99%

“…They then calculated the energy probability of each IMF, representing coherence through energy probabilities, and filtered the decomposed interference and useful components based on differences in coherence. In [15], an interference cancellation method using geometric sequence decomposition was proposed. This method decomposed radar echo signals into different non-orthogonal superimposed signal components and subsequently discarded the interference signal component, achieving signal filtering.…”

Section: Introductionmentioning

confidence: 99%

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An Adaptive Filtering Algorithm Based on Range-Doppler Information Guidance

Li,

Zhang,

et al. 2023

IEEE Access

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Millimetre-wave frequency-modulated continuous-wave (FMCW) radar is widely used in various scenarios. However, it is often affected by static and dynamic clutter interference, which has a negative impact on its performance. Specifically, these clutter signals are often mistaken for target signals, leading to false detection and affecting the accuracy of target tracking and localization. In addition, dynamic clutter sources, such as other moving objects, also bring about Doppler frequency shift interference, further affecting the measurement of target velocity. In this paper, addressing the issue of static clutter, we propose a frame mean subtraction method. Additionally, for the more complex problem of dynamic clutter, we introduce a filtering approach guided by distance-Doppler information. This method utilizes a mask generated in real-time by tracking the temporal distance information of the target as prior information for filtering radar signals. Subsequently, we employ a novel fractional short-time Fourier transform to extract the Doppler feature spectrogram of the radar signal. Finally, a ResNet-50 model trained on the Doppler spectrograms of interference-free radar signals is used to test the Doppler maps generated from the filtered radar signals. After testing, the classification accuracy reaches 97.5%. This result shows that the micro-Doppler spectrum obtained by filtering the radar signal collected in complex scenes using the proposed method is highly similar to the micro-Doppler spectrum of the target to be measured. In addition, the proposed filtering method not only plays the role of signal filtering, but also enhances the strength of the target signal and provides more detailed information for the subsequent recognition task.INDEX TERMS LFMCW, micro-doppler, radar signal filtering, convolutional neural network.

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Section: B Novel Short-time Fractional Fourier Transformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Adaptive Filtering Algorithm Based on Range-Doppler Information Guidance

Li,

Zhang,

et al. 2023

IEEE Access

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“…High-end radio frequency (RF) with large data capacity, high anti-interference performance and good directivity are widely applied in automotive radar (Merlo and Nanzer, 2022; Lee and Lee, 2022). In pursuit of miniaturization and densification, novel fabrication methods for high-end RF devices are becoming urgent.…”

Section: Introductionmentioning

confidence: 99%

A 3D coaxial transition with continuous ground wall fabricated by a 12-inch wafer-level packaging method for radio frequency applications

Zhao,

Pang,

Wang

et al. 2023

SSMT

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Purpose This paper aims to realize the vertical interconnection in 3D radio frequency (RF) circuit by coaxial transitions with broad working bandwidth and small signal loss. Design/methodology/approach An advanced packaging method, 12-inch wafer-level through-mold-via (TMV) additive manufacturing, is used to fabricate a 3D resin-based coaxial transition with a continuous ground wall (named resin-coaxial transition). Designation and simulation are implemented to ensure the application universality and fabrication feasibility. The outer radius R of coaxial transition is optimized by designing and fabricating three samples. Findings The fabricated coaxial transition possesses an inner radius of 40 µm and a length of 200 µm. The optimized sample with an outer radius R of 155 µm exhibits S11 < –10 dB and S21 > –1.3 dB at 10–110 GHz and the smallest insertion loss (S21 = 0.83 dB at 77 GHz) among the samples. Moreover, the S21 of the samples increases at 58.4–90.1 GHz, indicating a broad and suitable working bandwidth. Originality/value The wafer-level TMV additive manufacturing method is applied to fabricate coaxial transitions for the first time. The fabricated resin-coaxial transitions show good performance up to the W-band. It may provide new strategies for novel designing and fabricating methods of RF transitions.

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