Optimized trigger for ultra-high-energy cosmic-ray and neutrino observations with the low frequency radio array

When an ultra-high energy neutrino or cosmic-ray strikes the Lunar surface a radio-frequency pulse is emitted. We plan to use the LOFAR radio telescope to detect these pulses. In this work we propose an efficient trigger implementation for LOFAR optimized for the observation of short radio pulses.     

DOA estimation based on fourth order cumulant beamforming for nonuniform linear array of DIFAR sonobuoys

The Directional Frequency Analysis and Recording (DIFAR) sonobuoy has been widely used in underwater target localization because it can capture more information than the Low Frequency Analysis and Recording (LOFAR) omnidirectional sonobuoy. Recently, array processing for fields of DIFAR sonobuoys has attracted considerable attention in order to enhance the direction of arrival (DOA) estimation performance and accuracy. DIFAR sonobuoys may become irregularly spaced due to the deployment method and the drift experienced once deployed, resulting in a nonuniform array. In this paper, we demonstrate the fourth-order cumulant beamforming (FOC-BF) technique to estimate the DOA for a nonuniform linear array of DIFAR sonobuoys. FOC-BF was compared with the conventional beamforming (CBF) through simulation works. The results show that FOC-BF provides better spatial spectrum with lower sidelobes than CBF. Furthermore, FOC-BF provides superior DOA estimation accuracy over CBF at very low signal to noise ratios (SNR).     

LOFAR浮标定位算法的仿真研究

LOFAR浮标是一种被动全向浮标,主要用于对潜搜索初始阶段.常用的定位算法很多,这些方法的基本思想是最大限度地利用LOFAR和CODAR分析得到的目标信息,通过粗测和细测交替进行的方法,最终精确得到目标参数.针对Doppler-CPA、LOFIX和HYFIX定位算法进行分析和仿真,结果表明这三种算法能够很好地实现对目标的检测,最终精确得到目标参数.     

多级背景均衡在多波束LOFAR处理中的应用

被动声纳检测中背景均衡通常是沿着频率或者方位对噪声进行均值估计。为了提高多波束窄带检测能力,需采用一种新的背景均衡方法来估计噪声的均值。针对水下目标辐射噪声的线谱横跨相邻多个波束,将多级背景均衡应用到被动多波束窄带检测中。它是根据所选择的数据窗,沿着频率和方位对多波束LOFAR图进行两维的背景均衡处理。该方法能够有效地抑制目标方位相邻波束线谱,提高多波束LOFAR图中窄带信号检测能力。海试数据处理结果表明,该方法不仅有效,而且计算量小。     

超波束处理在被动声纳频谱分析中的应用

超波束技术(HBF)作为一种新的高分辨力波束形成方法,在阵列尺寸一定的条件下,能够同时降低主波束宽度和旁瓣,从而提高目标检测能力和定位精度.但超波束输出丢失了信号相位信息,无法进行侦听和频谱分析等后置处理.对常规HBF进行了改进,利用HBF输出对常规的波束形成(CBF)进行加权,在保证高分辨力和低旁瓣的同时,又保留了波...     

A New Single DIFAR Sonobuoy Target Location Algorithm

In order to solve the problem of target location of single direction finding and ranging(DIFAR) sonobuoy, a new target location algorithm is proposed. Based on the new generation of high performance sonobuoy signal processing platform, the new algorithm makes full use of the Doppler information of the targets while using the target location data, and successfully implements the target detection, location and tracking. In the calculation of target parameters, the new algorithm utilizes the repeated measurement data to further improve the calculation accuracy of the target parameters using the principle of Least Square. The simulation results indicate the correctness of the new algorithm. The algorithm is simple, stable and easily implemented in engineering. And besides, it overcomes the weakness of the traditional algorithm which requires at least two DIFAR buoys to locate the targets.     

浮标定位算法的仿真研究

声呐浮标可以对目标进行检测、定位、跟踪和分类识别,因此浮标定位算法的研究非常关键。目前常用的算法有低频搜索与记录（LOFAR）,相关探测与搜索（CODAR）等,主要对这两种声呐浮标定位算法进行了研究和计算机仿真分析,在不同背景条件下研究了各种算法的原理和性能。     

基于高阶谱的LOFAR谱图特征在被动声纳信号自动识别中的应用

水下目标的特征提取一直是水声信号处理的难题。由于实际的声纳目标的发声机理和反射声波的机理十分复杂,成份多样,造成水声信号具有较强的非平稳性和非高斯性。为了提高对水下目标识别的正确识别率,突破以往研究中关于信号平衡性的假设和高斯性的假设,本文在简要介绍了ＬＯＦＡＲ谱图和高阶谱（ＨＯＳ）估计方法之后,提出了一种基于高阶谱的ＬＦＡＲ谱图和高阶谱（ＨＯＳ）估计之后,提出了一种基于高阶谱的ＬＯＦＡＲ谱图特征