2012
DOI: 10.1515/freq-2012-0095
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Extraction of Micro-Doppler Signatures using Automotive Radar Sensors

Abstract: Detection of pedestrians in an urban environment is a highly sophisticated task. This paper presents a signal processing technique suitable for frequencymodulated continuous wave (FMCW) radar sensors using chirp sequence modulation, allowing observation of slow-moving objects with high resolution capability in range and velocity. Velocity resolution can be improved through auto-regressive linear prediction (AR-LP) without requiring a long chirp sequence duration. Furthermore, the influence of the frequency dev… Show more

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Cited by 16 publications
(8 citation statements)
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“…Fortunately, there are radar modulation techniques available that can determine the moving object's range and velocity simultaneously. In this section, a radar modulation technique referred to as chirp sequence modulation is used [21,26,27], where 64 chirps are transmitted in one chirp sequence and each chirp is parametrized with B r ≈ 1375 MHz, T r = 0.36 ms, and n = 152.…”
Section: D) Detection Of Moving Foreign Objectsmentioning
confidence: 99%
“…Fortunately, there are radar modulation techniques available that can determine the moving object's range and velocity simultaneously. In this section, a radar modulation technique referred to as chirp sequence modulation is used [21,26,27], where 64 chirps are transmitted in one chirp sequence and each chirp is parametrized with B r ≈ 1375 MHz, T r = 0.36 ms, and n = 152.…”
Section: D) Detection Of Moving Foreign Objectsmentioning
confidence: 99%
“…It limits the range resolution for the FMCW radar in automotive application. Recently, fast chirp modulation is getting more and more attractions to improve the performance of FMCW radar in automotive applications [7]- [8]. The major advantage is the range resolution improvement.…”
Section: Fast Chip Fmcw Modulationmentioning
confidence: 99%
“…[17]. In [18] signal processing approaches for high Doppler resolutions, suitable for automotive radar sensors, are presented. The discrimination of vehicles, walking pedestrians, and inline-skaters by autoregressive linear prediction is demonstrated.…”
Section: Doppler Signaturesmentioning
confidence: 99%