TY - GEN
T1 - A NOVEL MULTI-PULSE REPETITION FREQUENCY SET SELECTION METHOD BASED ON THE CLEAR AREA EVALUATION MATRIX
AU - Liu, Wei
AU - Liang, Zhennan
AU - Chen, Xinliang
AU - Wang, Bin
AU - Song, Yuanyuan
N1 - Publisher Copyright:
© 2022 IET Conference Proceedings. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Since the traditional multiple pulse repetition frequency (PRF) selection methods do not consider the influence of measurement errors and granularity division, this paper introduces a novel medium pulse repetition frequency (MPRF) set selection method for the ground-based pulsed-Doppler radar system. Specifically, we define the clear area evaluation matrix (CAEM) and derive the analytic expression of the objective function using the truth table. Compared with the traditional method based on the blind zone map (BZM), the CAEM based method preliminarily selects the measurement data considering the influence of measurement errors. To keep in line with practical processing, the CAEM solves the ambiguity of some measurement points and uses the deviation tolerance to select the results again. The genetic algorithm (GA) is utilized to maximize the objective function. The experiments show that CAEM improves computational efficiency by about 38 times and the accuracy by about 7% compared with the BZM method.
AB - Since the traditional multiple pulse repetition frequency (PRF) selection methods do not consider the influence of measurement errors and granularity division, this paper introduces a novel medium pulse repetition frequency (MPRF) set selection method for the ground-based pulsed-Doppler radar system. Specifically, we define the clear area evaluation matrix (CAEM) and derive the analytic expression of the objective function using the truth table. Compared with the traditional method based on the blind zone map (BZM), the CAEM based method preliminarily selects the measurement data considering the influence of measurement errors. To keep in line with practical processing, the CAEM solves the ambiguity of some measurement points and uses the deviation tolerance to select the results again. The genetic algorithm (GA) is utilized to maximize the objective function. The experiments show that CAEM improves computational efficiency by about 38 times and the accuracy by about 7% compared with the BZM method.
KW - AMBIGUITY RESOLUTION
KW - GENETIC ALGORITHMS
KW - MEDIUM PULSE REPETITION FREQUENCY
KW - PULSE DOPPLER RADAR
UR - http://www.scopus.com/inward/record.url?scp=85174654045&partnerID=8YFLogxK
U2 - 10.1049/ICP.2023.1277
DO - 10.1049/ICP.2023.1277
M3 - Conference contribution
AN - SCOPUS:85174654045
VL - 2022
SP - 599
EP - 604
BT - IET Conference Proceedings
PB - Institution of Engineering and Technology
T2 - 2022 International Conference on Radar Systems, RADAR 2022
Y2 - 24 October 2022 through 27 October 2022
ER -