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Journal ArticleDOI

New chirp sequence radar waveform

Matthias Kronauge, +1 more
- 11 Dec 2014 - 
- Vol. 50, Iss: 4, pp 2870-2877
TLDR
The classical chirp sequence waveforms suffer from possible ambiguities in the velocity measurement and are modified to get an unambiguous velocity measurement even in multitarget situations.
Abstract
The general requirement in the automotive radar application is to measure the target range R and radial velocity v r simultaneously and unambiguously with high accuracy and resolution even in multitarget situations, which is a matter of the appropriate waveform design. Based on a single continuous wave chirp transmit signal, target range R and radial velocity v r cannot be measured in an unambiguous way. Therefore a so-called multiple frequency shift keying (MFSK) transmit signal was developed, which is applied to measure target range and radial velocity separately and simultaneously. In this case the radar measurement is based on a frequency and additionally on a phase measurement, which suffers from a lower estimation accuracy compared with a pure frequency measurement. This MFSK waveform can therefore be improved and outperformed by a chirp sequences waveform. Each chirp signal has in this case very short time duration T chirp . Therefore the measured beat frequency f B is dominated by target range R and is less influenced by the radial velocity v r . The range and radial velocity estimation is based on two separate frequency measurements with high accuracy in both cases. Classical chirp sequence waveforms suffer from possible ambiguities in the velocity measurement. It is the objective of this paper to modify the classical chirp sequence to get an unambiguous velocity measurement even in multitarget situations.

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Citations
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Journal ArticleDOI

Automotive Radar — From First Efforts to Future Systems

TL;DR: In this paper, the authors sketch the path from the very beginning through the state of the art with sophisticated multiple-input multiple-output (MIMO) antenna arrays and mature assembly and interconnect concepts to today's key research topics of automotive radar.
Journal ArticleDOI

The Rise of Radar for Autonomous Vehicles: Signal processing solutions and future research directions

TL;DR: Vehicular radars provide the key enabling technology for the autonomous driving revolution that will have a dramatic impact on everyone's day-to-day lives because of the significant progress in the radio-frequency CMOS technology that enables high-level radaron-chip integration and thus reduces the automotive radar cost to the level of consumer mass production.
Journal ArticleDOI

High-Performance Automotive Radar: A review of signal processing algorithms and modulation schemes

TL;DR: An overview of the challenges that arise for automotive radar from its development as a sensor for ADAS to a core component of self-driving cars is given and new paradigms arise as automotive radar transitions into a more powerful vehicular sensor.
Journal ArticleDOI

Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform

TL;DR: A real-time signal processing framework based on a 60 GHz frequency-modulated continuous wave (FMCW) radar system to recognize gestures and develops a hand activity detection (HAD) algorithm to automatize the detection of gestures inreal-time case.
Journal ArticleDOI

Automotive Radar Interference Mitigation Using Adaptive Noise Canceller

TL;DR: In this article, a low calculation cost method using adaptive noise canceller to increase the signal-to-interference ratio was proposed to address the increment of noise floor due to interference, and the least mean square algorithm was used to solve for the optimum filter solution.
References
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Journal ArticleDOI

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Proceedings ArticleDOI

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H. Rohling, +1 more
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Journal ArticleDOI

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Journal ArticleDOI

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Proceedings ArticleDOI

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H. Rohling, +1 more
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