The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
미래의 고해상도 단거리 자동차 레이더는 기존의 저해상도 레이더보다 오경보 확률이 더 높아질 것입니다. 고해상도 레이더에서 수신 신호는 의도한 물체와 의도하지 않은 물체의 차이에 민감해집니다. 그러나 자동차 레이더는 동일한 크기의 배경 물체와 표적을 구별해야 합니다. 이는 잘못된 경보 확률을 증가시킵니다. 본 논문에서는 자동차 환경에서 작동하는 고해상도 레이더의 오경보 확률을 줄이기 위해 목표 평균 전력과 배경 평균 전력을 얻기 위한 CFAR 회로를 제안합니다. 제안된 방법은 특성함수법을 이용하여 분석적으로 평가하였다. 대상 객체와 배경 객체의 크기가 여러 범위 셀의 크기에 접근하기 때문에 공간적 상관 관계도 평가에 고려됩니다. 결과는 두 개의 레인지 셀을 나란히 사용하여 제안된 CFAR이 자동차 상황의 예에서 6.4dB의 비율을 줄일 수 있음을 보여주었습니다.
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부
Satoshi TAKAHASHI, "A CFAR Circuit with Multiple Detection Cells for Automotive UWB Radars" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 6, pp. 1574-1582, June 2010, doi: 10.1587/transcom.E93.B.1574.
Abstract: Future high-resolution short-range automotive radar will have a higher false alarm probability than the conventional low-resolution radar has. In a high-resolution radar, the reception signal becomes sensitive to the difference between intended and unintended objects. However, automotive radars must distinguish targets from background objects that are the same order of size; it leads to an increase in the false alarm probability. In this paper, a CFAR circuit for obtaining the target mean power, as well as the background mean power, is proposed to reduce the false alarm probability for high-resolution radars working in automotive environments. The proposed method is analytically evaluated with use of the characteristic function method. Spatial correlation is also considered in the evaluation, because the sizes of the both target and background objects approach the dimension of several range cells. Result showed the proposed CFAR with use of two alongside range cells could reduce the ratio of 6.4 dB for an example of an automotive situation.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.1574/_p
부
@ARTICLE{e93-b_6_1574,
author={Satoshi TAKAHASHI, },
journal={IEICE TRANSACTIONS on Communications},
title={A CFAR Circuit with Multiple Detection Cells for Automotive UWB Radars},
year={2010},
volume={E93-B},
number={6},
pages={1574-1582},
abstract={Future high-resolution short-range automotive radar will have a higher false alarm probability than the conventional low-resolution radar has. In a high-resolution radar, the reception signal becomes sensitive to the difference between intended and unintended objects. However, automotive radars must distinguish targets from background objects that are the same order of size; it leads to an increase in the false alarm probability. In this paper, a CFAR circuit for obtaining the target mean power, as well as the background mean power, is proposed to reduce the false alarm probability for high-resolution radars working in automotive environments. The proposed method is analytically evaluated with use of the characteristic function method. Spatial correlation is also considered in the evaluation, because the sizes of the both target and background objects approach the dimension of several range cells. Result showed the proposed CFAR with use of two alongside range cells could reduce the ratio of 6.4 dB for an example of an automotive situation.},
keywords={},
doi={10.1587/transcom.E93.B.1574},
ISSN={1745-1345},
month={June},}
부
TY - JOUR
TI - A CFAR Circuit with Multiple Detection Cells for Automotive UWB Radars
T2 - IEICE TRANSACTIONS on Communications
SP - 1574
EP - 1582
AU - Satoshi TAKAHASHI
PY - 2010
DO - 10.1587/transcom.E93.B.1574
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2010
AB - Future high-resolution short-range automotive radar will have a higher false alarm probability than the conventional low-resolution radar has. In a high-resolution radar, the reception signal becomes sensitive to the difference between intended and unintended objects. However, automotive radars must distinguish targets from background objects that are the same order of size; it leads to an increase in the false alarm probability. In this paper, a CFAR circuit for obtaining the target mean power, as well as the background mean power, is proposed to reduce the false alarm probability for high-resolution radars working in automotive environments. The proposed method is analytically evaluated with use of the characteristic function method. Spatial correlation is also considered in the evaluation, because the sizes of the both target and background objects approach the dimension of several range cells. Result showed the proposed CFAR with use of two alongside range cells could reduce the ratio of 6.4 dB for an example of an automotive situation.
ER -