A Self-Calibrated 16-GHz Subsampling-PLL-Based Fast-Chirp FMCW Modulator With 1.5-GHz Bandwidth

Shi, Qixian; Bunsen, Keigo; Markulic, Nereo; Craninckx, Jan

doi:10.1109/jssc.2019.2941113

Cited by 23 publications

(7 citation statements)

References 15 publications

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“…The waveform of the signal transmitted by FMCW radar increases linearly with time, known as chirp. A single frame comprises usually of one or more such chirps [29]. Upon reflection from hand, the corresponding reflections are received at the receiver antennas.…”

Section: A Radar Signal Pre-processingmentioning

confidence: 99%

Radar-Based Air-Writing Gesture Recognition Using a Novel Multistream CNN Approach

Ahmed

Kim

Park

et al. 2022

IEEE Internet Things J.

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Hand gestures being a convenient and natural way of communication, is getting huge attention for human computer interface designs. Amongst these gestures, detecting midair writing is one of the most promising application. Existing radar based solutions often performs the mid-air writing recognition by tracking the hand trajectory using multiple monostatic or bi-static radars. This paper presents a Multi-Stream Convolutional Neural Network (MS-CNN) based in-air digits recognition method using a Frequency Modulated Continuous wave (FMCW) radar. With one FMCW radar comprising of two receiving channels, a novel three stream CNN network with Range-time, Doppler-time and Angle-time spectrograms as inputs is constructed and the features are fused together in later stage before making a final recognition. Unlike the traditional CNN, MS-CNN with multiple independent input layers enable the creation of multi-dimensional deep-learning model for FMCW radars. Twelve human volunteers were invited to writing the digit from zero to nine in the air in both home and lab environment. The three stream CNN architecture based air-writing for digits has shown a promising accuracy of 95%. Comparison of proposed MS-CNN system was made with 45 different variants of CNN and preliminary results shows that MS-CNN outperforms the other traditional CNN architectures for air-writing application. The gestures radar data has also been made available to the research community.

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Section: A Radar Signal Pre-processingmentioning

confidence: 99%

Radar-Based Air-Writing Gesture Recognition Using a Novel Multistream CNN Approach

Ahmed

Kim

Park

et al. 2022

IEEE Internet Things J.

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“…In order to make sure the coefficient g 0 is always equal to f ref /K DCO , the TPM scheme requires an accurate estimation of the coefficient g 0 . Assuming the DCO gain is altered by a relative gain error , which is , the resulting error between ideal and actual frequency can be written as [28] Δ…”

Section: Adaptive Digital Pre-distortionmentioning

confidence: 99%

“…Authors in Ref. [28] introduce a solution that can decouple the estimation of the c i coefficients from that of the g i coefficients, as shown in Fig. 16.…”

Section: Adaptive Digital Pre-distortionmentioning

confidence: 99%

Silicon-based FMCW signal generators: A review

2020

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“…Phase‐locked loops (PLLs) are widely employed in modern wireline and wireless communication system as frequency synthesis, 1,2 modulation, 3 clock recovery, 4,5 and so forth. With the development of communication technology, the new communication protocols impose more strict requirements on jitter of PLLs.…”

Section: Introductionmentioning

confidence: 99%

A low jitter sub‐sampling phase‐locked loop with sampling thermal noise cancellation technique

Wang³

et al. 2022

Circuit Theory & Apps

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The traditional sub‐sampling phase‐locked loop faces the tradeoffs between phase noise and spur, in that low in‐band phase noise requires large sampling capacitor size but at the sacrifice of spur performance. This paper presents a sub‐sampling PLL aimed at minimizing in‐band phase noise via sampling thermal noise cancellation technique. It enables the substantial reduction of in‐band phase noise while reducing the sampling capacitor size. In addition, due to the reduction of the sampling capacitance, the reference spur performance of the PLL is improved, and the power consumption of the isolation buffer is reduced. Implemented in a 65 nm CMOS process, the in‐band phase noise at 200 kHz offset is −133.4 dBc/Hz at 2.2 GHz and integrated jitter is 80 fsrms. The reference spur is −67 dBc. It consumes 5.5 mA from 1.2 V supply and occupies 0.72 mm2.

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A Self-Calibrated 16-GHz Subsampling-PLL-Based Fast-Chirp FMCW Modulator With 1.5-GHz Bandwidth

Cited by 23 publications

References 15 publications

Radar-Based Air-Writing Gesture Recognition Using a Novel Multistream CNN Approach

Radar-Based Air-Writing Gesture Recognition Using a Novel Multistream CNN Approach

Silicon-based FMCW signal generators: A review

A low jitter sub‐sampling phase‐locked loop with sampling thermal noise cancellation technique

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