TY - JOUR
T1 - Doppler ambiguity resolution using optimal multiple pulse repetition frequencies
AU - Xia, Xiang Gen
N1 - Publisher Copyright:
© 1998 SPIE. All rights reserved.
PY - 1998/3/26
Y1 - 1998/3/26
N2 - Ferrari, Bérenguer, and Alengrin recently proposed an algorithm for velocity ambiguity resolution in coherent pulsed Doppler radar using multiple pulse repetition frequencies (PRF). In this algorithm, two step estimations (folded frequency and ambiguity order) for the Doppler frequency is used by choosing particular PRF values. The folded frequency is the fractional part of the Doppler frequency and is estimated by averaging the folded frequency estimates for each PRF. The ambiguity order is the integer part of the Doppler frequency and is estimated by using the quasi maximum likelihood criterion. The PRF are grouped into pairs and each pair PRF values are symmetry about 1. The folded frequency estimate for each pair is the circular mean of the two folded frequency estimates of the pair due to the symmetry property. In this paper, we propose a new algorithm based on the optimal choice of the PRF values, where the PRF values are also grouped into pairs. In each pair PRF values, one is given and the other is optimally chosen. The optimality is built upon the minimal sidelobes of the maximum likelihood criterion. Numerical simulations are presented to illustrate the improved performance.
AB - Ferrari, Bérenguer, and Alengrin recently proposed an algorithm for velocity ambiguity resolution in coherent pulsed Doppler radar using multiple pulse repetition frequencies (PRF). In this algorithm, two step estimations (folded frequency and ambiguity order) for the Doppler frequency is used by choosing particular PRF values. The folded frequency is the fractional part of the Doppler frequency and is estimated by averaging the folded frequency estimates for each PRF. The ambiguity order is the integer part of the Doppler frequency and is estimated by using the quasi maximum likelihood criterion. The PRF are grouped into pairs and each pair PRF values are symmetry about 1. The folded frequency estimate for each pair is the circular mean of the two folded frequency estimates of the pair due to the symmetry property. In this paper, we propose a new algorithm based on the optimal choice of the PRF values, where the PRF values are also grouped into pairs. In each pair PRF values, one is given and the other is optimally chosen. The optimality is built upon the minimal sidelobes of the maximum likelihood criterion. Numerical simulations are presented to illustrate the improved performance.
UR - http://www.scopus.com/inward/record.url?scp=85076891146&partnerID=8YFLogxK
U2 - 10.1117/12.304863
DO - 10.1117/12.304863
M3 - Conference article
AN - SCOPUS:85076891146
SN - 0277-786X
VL - 3391
SP - 126
EP - 137
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Wavelet Applications V 1998
Y2 - 13 April 1998 through 17 April 1998
ER -