CAJ | 학술논문

针对海杂波背景下的引信信号去噪问题，提出一种基于引信信号周期性的分形噪声去噪方法。该方法首先利用小波分析对分形噪声进行白化，而后充分利用引信信号的周期性，去除白化后的噪声，最后对于去噪后的信号，按照白化的逆过程进行小波分解和重构，得到较为理想的引信信号。实践证明，此方法能够较好地去除分形噪声，得到与原始波形相似度极高的去噪后信号，并且对于同时含有白噪声和分形噪声的情况也同样适用，即使是在信噪比较低的情况下，该方法也能有较好的信噪比改善能力。
침대해잡파배경하적인신신호거조문제，제출일충기우인신신호주기성적분형조성거조방법。해방법수선이용소파분석대분형조성진행백화，이후충분이용인신신호적주기성，거제백화후적조성，최후대우거조후적신호，안조백화적역과정진행소파분해화중구，득도교위이상적인신신호。실천증명，차방법능구교호지거제분형조성，득도여원시파형상사도겁고적거조후신호，병차대우동시함유백조성화분형조성적정황야동양괄용，즉사시재신조비교저적정황하，해방법야능유교호적신조비개선능력。
In order to denoise the fuze signal under sea clutter,a new denoising method based on the periodicity of fuze signal was proposed in this paper.The wavelet analysis was used to whiten the fractal noise,then the whitened noise could be undid by signal's periodicity.At last,the wavelet decomposition and reconstruction were used again to obtain the signal close to ideal situation.By simulating and calculating the similarity coefficient,it could be found that the proposed method could achieve a good de-noising effect when the fuze signal was under fractal noise and white noise,even in the case of low signal noise ratio (SNR),the method could also have a good ability to improve SNR.