基于自适应线谱增强的LOFAR浮标信号处理及Doppler-CPA定位方法

LOFAR Sonobuoy Signal ProcessingBased on Adaptive Line Enhancer and Doppler-CPA Positioning

摘要:

LOFAR浮标是一种被动全向浮标,用于对潜搜索的初始阶段。常规的LOFAR谱图对于小信噪比和有色背景噪声处理性能下降。文中采用自适应线谱增强技术将目标辐射中的线谱成分从背景噪声中分离出来进行LOFAR谱图分析,提高LOFAR浮标的检测性能。在LOFAR分析的基础上利用目标的多普勒信息,采用Doppler-CAP方法测算目标的速度和目标与浮标的距离,初步估算出目标的航迹。仿真结果表明,新的LOFAR浮标数据处理算法检测性能更好,能够得到目标与浮标最接近点的距离。

Abstract:

The LOFAR sonobuoy is an expendable, omnidirection passive sonar unit. It is used at the beginning of the anti-submarine. The conventional signal processing of LOFAR sonobuoy can not work well under the low signal-noise ratio and colored ambient noises. In this paper, the adaptive line enhancer was adopted to find the low-level sine wave in noise to implement the LOFAR analysis. On the basis of LOFAR analysis, use the Doppler-CPA positioning to locate the target. The result indicates that the new signal processing method can improve the performance of detection and Doppler-CPA positioning can obtain the approximation location.