CAJ | 학술논문

子带相参配准是多波段雷达数据融合技术首先要解决的问题，它直接关系到多波段数据融合的成败。基于数据相关与基于 Prony 模型的方法在弱噪声的条件下能取得比较理想的相参配准结果，但在噪声较强的条件下配准误差较大。本文分析了线性相位和固定相位对一维像的影响，在此基础上利用累加一维像的图像熵，提出了依据最小熵准则和非线性最小二乘拟合获得高精度相位参数估计的方法。仿真实验表明，本文所提出的方法在低信噪比条件下的参数估计精度优于现有的方法。
자대상삼배준시다파단뢰체수거융합기술수선요해결적문제，타직접관계도다파단수거융합적성패。기우수거상관여기우 Prony 모형적방법재약조성적조건하능취득비교이상적상삼배준결과，단재조성교강적조건하배준오차교대。본문분석료선성상위화고정상위대일유상적영향，재차기출상이용루가일유상적도상적，제출료의거최소적준칙화비선성최소이승의합획득고정도상위삼수고계적방법。방진실험표명，본문소제출적방법재저신조비조건하적삼수고계정도우우현유적방법。
Coherent compensation among subbands is the first problem to be solved in multi-band radar data fusion,which is directly related to the success of the multi-band data fusion.At present,there are two popular methods,one is based on the data correlation,and the other is based on the Prony model.Both of them can a-chieve satisfactory results at high signal to noise ratio (SNR),but not applicable in high clusters.This paper analyzes the impact of fixed phase and linear phase which caused the coherent phase mismatch on high radar range profile(HRRP),then proposes a highly accurate phase parameter estimation method according to the en-tropy-minimization principle and nonlinear least-squares fit.Simulation results show that the method proposed can get a higher phase estimation accuracy in low SNR conditions.