A novel interlaced chirp sequence radar concept with range-Doppler processing for automotive applications

Thurn, Karsten; Shmakov, Denys; Li, Gang; Max, S.; Meinecke, Marc-Michael; Vossiek, Martin

doi:10.1109/mwsym.2015.7166715

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…One possibility for an adaption of the modulation format is to alter the repetition times in consecutive measurements and apply the Chinese remainder theorem (CRT ) [33]. Other authors suggest adapting the modulation format using the interlaced chirp-sequence approach as presented in [35,36]. The basic idea is that consecutive frequency ramps have increasing centre frequencies.…”

Section: Enhancing the Unambiguous Doppler Velocitymentioning

confidence: 99%

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

Roos¹,

Bechter²,

Knill³

et al. 2019

IEEE Microwave

145

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Section: Enhancing the Unambiguous Doppler Velocitymentioning

confidence: 99%

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

Roos¹,

Bechter²,

Knill³

et al. 2019

IEEE Microwave

145

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“…In order to mitigate this problem, T. Tuinstra [7] proposed the density-based spatial clustering of applications with noise (DBSCAN) over the CRT expansion, providing more flexibility to variations in a pulse-Doppler planar radar. Other contributions aiming to extend the maximum unambiguous limit for the single transmitter baseline [8,9] have reduced the chirp repetition intervals by combining consecutive ramps with no idle time in-between. However, extrapolating this concept to the MIMO array would increase even further the code repetition interval, as one transmitter emits multiple ramps per code.…”

Section: Introductionmentioning

confidence: 99%

Doppler disambiguation in MIMO FMCW radars with binary phase modulation

Gonzalez

Liu

Vogginger

et al. 2021

IET Radar Sonar & Navi

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Multiple-input multiple-output arrays in frequency modulated continuous wave (FMCW) radars provide the angular resolution required to isolate objects in complex automotive scenes. However, the demodulation of individual antenna contributions increases the chirp repetition interval, which reduces the maximum unambiguously measurable velocity. Objects moving faster than this velocity are then incorrectly folded in the range-Doppler maps, leading to critical inaccuracies in the advanced driver assistance systems.Here, this problem is addressed from the binary phase modulation (BPM) perspective, which is a scheme particularly attractive due to its high signal-to-noise ratio, and whose intrinsic phase alterations prevent traditional disambiguation techniques from being reliable. The authors present a detailed analysis on the design, implementation, and validation of Doppler disambiguation techniques for BPM systems. The presented benchmark includes a variety of algorithms involving the Chinese remainder theorem, density-based spatial clustering of applications with noise (DBSCAN), hypothetical phase compensation, and an intuitive range-based approach. The techniques are extensively validated using synthetic data generated with MATLAB, and real data collected with a 77-GHz FMCW radar. The results show the best set of trade-offs for the enhanced DBSCAN (EDBSCAN) method in terms of robustness, computational overhead, velocity span, and disambiguation rate.

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“…Chirp Sequence (CS) radars are gaining popularity because of their inherent ability to extract the range and velocity parameters of multiple targets from the beat signals based on two-dimensional fast Fourier transform [ 18 , 19 , 20 , 21 ]. However, the chirp sequence waveform also has a drawback; that is, the maximum unambiguously measurable velocity is limited by the repetition interval of the chirps.…”

Section: Introductionmentioning

confidence: 99%

Multi-Target Detection Method Based on Variable Carrier Frequency Chirp Sequence

Wang

Gao

2018

Sensors

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Continuous waveform (CW) radar is widely used in intelligent transportation systems, vehicle assisted driving, and other fields because of its simple structure, low cost and high integration. There are several waveforms which have been developed in the last years. The chirp sequence waveform has the ability to extract the range and velocity parameters of multiple targets. However, conventional chirp sequence waveforms suffer from the Doppler ambiguity problem. This paper proposes a new waveform that follows the practical application requirements, high precision requirements, and low system complexity requirements. The new waveform consists of two chirp sequences, which are intertwined to each other. Each chirp signal has the same frequency modulation, the same bandwidth and the same chirp duration. The carrier frequencies are different and there is a frequency shift which is large enough to ensure that the Doppler frequencies for the same moving target are different. According to the sign and numerical relationship of the Doppler frequencies (possibly frequency aliasing), the Doppler frequency ambiguity problem is solved in eight cases. Theoretical analysis and simulation results verify that the new radar waveform is capable of measuring range and radial velocity simultaneously and unambiguously, with high accuracy and resolution even in multi-target situations.

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A novel interlaced chirp sequence radar concept with range-Doppler processing for automotive applications

Cited by 10 publications

References 4 publications

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

Radar Sensors for Autonomous Driving: Modulation Schemes and Interference Mitigation

Doppler disambiguation in MIMO FMCW radars with binary phase modulation

Multi-Target Detection Method Based on Variable Carrier Frequency Chirp Sequence

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