CAJ | 학술논문

由于阻抗失配和器件非线性等原因，宽带侦察接收机捕获信号的噪声基底并不平整，易引起弱信号漏检，因此需要对噪声基底进行估计。在噪声基底变化较快时，以往基于形态学滤波的噪声基底估计算法存在基底估计精度和大带宽信号漏检的矛盾。本文提出多尺度的形态学滤波，通过检测不同滤波尺度下噪声基底估值的变化，实现不同频点使用不同尺度的结构元素，在快变噪声基底频谱中提高了噪声基底估计的精度。通过实验仿真验证，该算法能够有效的估计噪声基底，使修正后的频谱能够更好的检测信号。
유우조항실배화기건비선성등원인，관대정찰접수궤포획신호적조성기저병불평정，역인기약신호루검，인차수요대조성기저진행고계。재조성기저변화교쾌시，이왕기우형태학려파적조성기저고계산법존재기저고계정도화대대관신호루검적모순。본문제출다척도적형태학려파，통과검측불동려파척도하조성기저고치적변화，실현불동빈점사용불동척도적결구원소，재쾌변조성기저빈보중제고료조성기저고계적정도。통과실험방진험증，해산법능구유효적고계조성기저，사수정후적빈보능구경호적검측신호。
Due to impedance mismatch,nonlinear devices and other reasons,noise floor of signals caught by broadband reconnaissance receiver is not flat,which is easy to cause weak signal undetected,the noise floor is estimated before signals detection.While the noise floor changes rapidly,the fixed scale noise floor estimation algorithm based on morphological filte-ring has conflicts between estimation accuracy and large bandwidth signal detection probability.This paper proposed multi-scale morphological filtering,which applying different scale filter kernel in different frequency by detection the variation of noise floor estimation in different kernel scales,which increased estimation accuracy in the noise floor.Through simulation ex-periments,the algorithm can effectively estimate the noise floor,making the spectrum after the correction better for detection.