研究了由N-1个等比值双基线系统组成的N基线测向系统的相位解模糊算法。对每个双基线系统(Pnλ20,Pn+1λ20)在(-p/2,p/2),(-q/2,q/2)范围内进行一维整数搜索,寻找出一组相位模糊解(k0n,l0n),根据二元一次不定方程,得到该双基线系统的模...研究了由N-1个等比值双基线系统组成的N基线测向系统的相位解模糊算法。对每个双基线系统(Pnλ20,Pn+1λ20)在(-p/2,p/2),(-q/2,q/2)范围内进行一维整数搜索,寻找出一组相位模糊解(k0n,l0n),根据二元一次不定方程,得到该双基线系统的模糊解,解的组数为Pn,Pn+1的最大公约数(Greatest common divisor,GCD),然后寻找由(P1λ20,P2λ20,P3λ30)构成的三基线系统的相位模糊解,解的组数为P1,P2和P3的最大公约数。以此类推,可得N基线系统的相位模糊解,如P1,P2,…,PN的最大公约数为1,那么就可得到惟一解,实现相位无模糊。该算法的计算量小,便于工程实现,仿真结果表明了算法的有效性。展开更多
This paper presents an enhanced multi-baseline phase unwrapping algorithm by combining an unscented Kalman filter with an enhanced joint phase gradient estimator based on the amended matrix pencil model, and an optima...This paper presents an enhanced multi-baseline phase unwrapping algorithm by combining an unscented Kalman filter with an enhanced joint phase gradient estimator based on the amended matrix pencil model, and an optimal path-following strategy based on phase quality estimate function. The enhanced joint phase gradient estimator can accurately and effectively extract the phase gradient information of wrapped pixels from noisy interferograms, which greatly increases the performances of the proposed method. The optimal path-following strategy ensures that the proposed algorithm simultaneously performs noise suppression and phase unwrapping along the pixels with high-reliance to the pixels with low-reliance. Accordingly, the proposed algorithm can be predicted to obtain better results, with respect to some other algorithms, as will be demonstrated by the results obtained from synthetic data.展开更多
文摘研究了由N-1个等比值双基线系统组成的N基线测向系统的相位解模糊算法。对每个双基线系统(Pnλ20,Pn+1λ20)在(-p/2,p/2),(-q/2,q/2)范围内进行一维整数搜索,寻找出一组相位模糊解(k0n,l0n),根据二元一次不定方程,得到该双基线系统的模糊解,解的组数为Pn,Pn+1的最大公约数(Greatest common divisor,GCD),然后寻找由(P1λ20,P2λ20,P3λ30)构成的三基线系统的相位模糊解,解的组数为P1,P2和P3的最大公约数。以此类推,可得N基线系统的相位模糊解,如P1,P2,…,PN的最大公约数为1,那么就可得到惟一解,实现相位无模糊。该算法的计算量小,便于工程实现,仿真结果表明了算法的有效性。
基金supported by the National Natural Science Foundation of China(4120147961261033+2 种基金61461011)the Guangxi Natural Science Foundation(2014GXNSFBA118273)the Dean Project of Guangxi Key Laboratory of Wireless Broadband Communication and Signal Processing(GXKL061503)
文摘This paper presents an enhanced multi-baseline phase unwrapping algorithm by combining an unscented Kalman filter with an enhanced joint phase gradient estimator based on the amended matrix pencil model, and an optimal path-following strategy based on phase quality estimate function. The enhanced joint phase gradient estimator can accurately and effectively extract the phase gradient information of wrapped pixels from noisy interferograms, which greatly increases the performances of the proposed method. The optimal path-following strategy ensures that the proposed algorithm simultaneously performs noise suppression and phase unwrapping along the pixels with high-reliance to the pixels with low-reliance. Accordingly, the proposed algorithm can be predicted to obtain better results, with respect to some other algorithms, as will be demonstrated by the results obtained from synthetic data.
