CAJ | 학술논문

为了克服传统的自适应谱线增强器(ALE)在低信噪比条件下抑制高斯噪声效果差的不足,提出一种基于时域相干累积技术的自适应谱线增强新算法.该算法是根据时空的等效性,将接收到的长数据进行分段处理,分段数据相干累积处理后再进行自适应谱线增强,提高了低信噪比条件下自适应谱线增强算法的性能.计算机仿真结果表明,该算法具有良好的抑制高斯噪声和自适应谱线增强的性能,对于低信噪比条件下窄带信号自适应谱线增强的性能明显优于传统的ALE算法,宽带时变信号的谱线增强还有待进一步的研究.
위료극복전통적자괄응보선증강기(ALE)재저신조비조건하억제고사조성효과차적불족,제출일충기우시역상간루적기술적자괄응보선증강신산법.해산법시근거시공적등효성,장접수도적장수거진행분단처리,분단수거상간루적처리후재진행자괄응보선증강,제고료저신조비조건하자괄응보선증강산법적성능.계산궤방진결과표명,해산법구유량호적억제고사조성화자괄응보선증강적성능,대우저신조비조건하착대신호자괄응보선증강적성능명현우우전통적ALE산법,관대시변신호적보선증강환유대진일보적연구.
In order to overcome insufficient of the traditional adaptive line enhancer(ALE)to restrain Gauss noise under the condition of low SNR,a new adaptive spectral line enhancement algorithm based on the time?domain coherent accumulation technology is proposed. Based on the equivalent of space and time,the received long data is segmented by the algorithm,and then the adaptive spectral line of the segmented data is enhanced after coherent cumulative process. It improves the performance of adaptive spectral line enhancement algorithm under the condition of low SNR. Computer simulation results show that the algo?rithm has a good performance of restraining Gauss noise and enhancing adaptive spectral line. The performance of the algorithm in the adaptive spectral line enhancement of narrowband signals under low SNR conditions is much better than that of the tradi?tional ALE algorithm. The spectral line enhancement algorithm for the wideband time?varying signal still needs further research.