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TwoStep Pairing Algorithm for Target Range and Velocity Detection in FMCW Automotive Radar
Eugin HYUN Woojin OH JongHun LEE
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E98A
No.3
pp.801810 Publication Date: 2015/03/01 Online ISSN: 17451337
DOI: 10.1587/transfun.E98.A.801 Type of Manuscript: PAPER Category: Digital Signal Processing Keyword: FMCW radar, pairing, multitarget, twostep, detection algorithm, detection probability,
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Summary:
In automotive frequency modulated continuous wave (FMCW) radar based on multiple ramps with different slope, an effective pairing algorithm is required to simultaneously detect the target range and velocity. That is, as finding beatfrequencies intersecting at a single point of the rangeDoppler map, we extract the range and velocity of a target. Unlike the ideal case, however, in a real radar system, even though multiple beat frequencies are originated from the same target, these beat frequencies have many different intersection values, resulting in mismatch pairing during the pairing step. Moreover, this problem also reduces the detection accuracy and the radar detection performance. In this study, we found that mismatch pairing is caused by the roundoff errors of the rangebeat frequency and Doppler frequency, as well as their various combinations in the discrete frequency domain. We also investigated the effect of mismatch pairing on detection performance, and proposed a new approach to minimize this problem. First, we propose integer and halfinteger frequency positionbased pairing method during extraction of the range and Doppler frequencies in each ramp to increase detection accuracy. Second, we propose a windowbased pairing method to identify the same target from rangeDoppler frequencies extracted in the first step. We also find the appropriate window size to overcome pairing mismatch. Finally, we propose the method to obtain a higher accuracy of range and velocity by weighting the values determined in one window. To verify the detection performance of the proposed method by comparison with the typical method, simulations were conducted. Then, in a real field test using the developed radar prototype, the detection probability of the proposed algorithm showed more than 60% improvement in comparison with the conventional method.

