Spatial adaptive filtering for LPI signal detection

K. W. Forsythe, P. Monticciolo, J. Sklar
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Abstract

Summary form only given, as follows. This paper presents two algorithms for jointly detecting and direction finding (DF) low probability of intercept (LPI) signals based upon spatial adaptive filtering concepts: adaptive event processing (AEP) for narrowband short duration (SD) signals and spatial spectral whitening (SSW) for wideband direct sequence spread spectrum (DSSS) signals. AEP jointly exploits spatial and temporal differences between consecutive observation intervals to null narrowband interference, evaluate an energy-based detection statistic, and upon detection compute a DF estimate of a newly turned-on signal. SSW exploits both spatial and spectral differences between the DSSS signal-of-interest (SOI), which has a constant direction of arrival (DOA) over a wide spectral extent, and strong spectrally localized interference to simultaneously form a decision statistic and a DF estimate. Aspects of both algorithms are discussed, and data obtained from a four element wideband array operating in the HF band is used to illustrate performance.<>
LPI信号检测的空间自适应滤波
仅给出摘要形式,如下。本文提出了基于空间自适应滤波的两种低截获概率(LPI)信号联合检测和测向算法:窄带短持续时间(SD)信号的自适应事件处理(AEP)和宽带直接序列扩频(DSSS)信号的空间频谱白化(SSW)。AEP联合利用连续观测间隔之间的空间和时间差异来消除窄带干扰,评估基于能量的检测统计量,并在检测后计算新打开信号的DF估计。SSW利用DSSS感兴趣信号(SOI)在宽光谱范围内具有恒定的到达方向(DOA)和强频谱局域干扰之间的空间和光谱差异,同时形成决策统计量和DF估计。讨论了这两种算法的各个方面,并使用在高频波段工作的四元宽带阵列获得的数据来说明性能
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