A Scalable Millimetre-Wave Differential CMOS Cross-Coupled VCO for Automotive Radar Application

Yadav, Rekha; Dahiya, Pawan Kumar; Mishra, Rajesh

doi:10.1142/s021812661850158x

Cited by 10 publications

(2 citation statements)

References 2 publications

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“…In general, radar works on the principle that the FM continuous wave emitted by the VCO is processed internally by the radar module, which emits a microwave signal [5][6]. This signal is emitted with the help of an antenna, and when the signal reaches the object to be measured, it is reflected back and reaches the signal receiving end of the radar module [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Denoising complex background radar signals based on wavelet decomposition thresholding

Qiu,

Yuan

2023

Applied Mathematics and Nonlinear Sciences

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The echo signals of the radar in complex backgrounds are often very unstable and thus require effective noise cancellation. In this paper, according to the characteristics of continuous wavelet variation and discrete wavelet variation, the decomposition effect of multi-resolution analysis and orthogonal Mallat algorithm on low-frequency and high-frequency non-smooth signals is studied, and the selection method of wavelet bases is explored. Then, the noise characteristics affecting the pulsed LIDAR system are analyzed, and the LIDAR pulse signal is simulated by MATLAB, while Gaussian white noise is introduced to obtain the noise-added echo signal, and then multiple wavelet threshold denoising methods are applied to denoise the echo signal. For the input signal-to-noise ratio of −10.57 dB, the output signal-to-noise ratios of db8, db9, db10, and bior3.5 wavelet bases under forced thresholding are −1.971, −2.178, −2.173, and −1.032, respectively. For different input signal-to-noise ratios, the average root mean square error of db8, db9, db10, and bior3.5 wavelet bases under default thresholding is 1.51. The denoising methods for radar signals using the properties of wavelet decomposition have obvious superiority compared to traditional filters, and the wavelet transforms threshold denoising methods have wide adaptability.

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Section: Introductionmentioning

confidence: 99%

Denoising complex background radar signals based on wavelet decomposition thresholding

Qiu,

Yuan

2023

Applied Mathematics and Nonlinear Sciences

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“…Terahertz science and technology has drawn many research interests in the areas ranging from fully-integrated image sensor [1][2][3][4][5][6][7][8][9][10][11] to wireless communication transceivers. [11][12][13][14][15][16][17][18] For these applications, a signal generator with good performances is a critical building block. However, there are many challenges in designing a signal generator.…”

Section: Introductionmentioning

confidence: 99%

A 217.6–227-GHz CMOS Signal Generator with Injection Locking Technique

Cheng

Qian

Luo

et al. 2019

J CIRCUIT SYST COMP

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This paper proposes a 217.6–227-GHz signal generator with injection locking technique in 65-nm CMOS process. The injection locking technique is exploited to synchronize the phases of the two individual voltage control oscillators (VCOs) and improve the output power. The phase noise of the proposed signal generator is improved. The full-layout electromagnetic (EM) simulation in collaboration with the post-layout simulation is utilized to verify the proposed signal generator. The simulation results show that the frequency tuning range is 9.4[Formula: see text]GHz, and the output power is larger than [Formula: see text]14.25[Formula: see text]dBm. The phase noise at 1[Formula: see text]MHz off the carrier is better than [Formula: see text]92.12[Formula: see text]dBc/Hz. The signal generator occupies a compact silicon area of 0.23[Formula: see text]mm2 including all testing pads.

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Design of an Optimal Integer Frequency Synthesizer for 5 GHz Frequency at 45 nm CMOS Technology

Yadav

Kaushik

2019

International Conference on Intelligent Computing and Smart Communication 2019

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A Scalable Millimetre-Wave Differential CMOS Cross-Coupled VCO for Automotive Radar Application

Cited by 10 publications

References 2 publications

Denoising complex background radar signals based on wavelet decomposition thresholding

Denoising complex background radar signals based on wavelet decomposition thresholding

A 217.6–227-GHz CMOS Signal Generator with Injection Locking Technique

Design of an Optimal Integer Frequency Synthesizer for 5 GHz Frequency at 45 nm CMOS Technology

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