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Blind separation and capture of communication signals using amultitarget constant modulus beamformer

机译:使用多目标恒模波束形成器盲分离和捕获通信信号

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A multitarget least-squares CMA (constant modulus algorithm) thatblindly adapts a narrowband beamformer to separate and capture multiplecommunication signals by exploiting only the low modulus variation ofthe communication waveforms is presented. It is shown that the algorithmcan detect and classify transient and nontransient communication signalson the basis of modulus variation and extract those signals with maximumattainable output SINR (signal-to-interference and -noise ratio) inenvironments containing strong transient or nontransient cochannelinterference. This is demonstrated via computer simulation for anarrowband (25 kHz bandwidth) four-element antenna array in environmentscontaining FSK (frequency shift keying) bursts received at low (~4 dBsignal-to-white-noise ratio) power levels in the presence of severe(~-50-dB signal-to-interference ratio) interference. It is shown thatthe algorithm can capture the FSK bursts in less than 2 ms, and maintaincapture on the signals as other signals appear and disappear over thesignal ON times
机译:多目标最小二乘CMA(恒定模量算法) 盲目地适应窄带波束形成器以分离和捕获多个 通过仅利用低模量变化的通信信号 给出了通信波形。结果表明,该算法 可以检测和分类瞬态和非瞬态通信信号 在模量变化的基础上,最大程度地提取那些信号 可获得的输出SINR(信号干扰和噪声比) 包含强瞬态或非瞬态同频的环境 干涉。通过计算机仿真可以证明这一点。 环境中的窄带(25 kHz带宽)四元件天线阵列 包含低(〜4 dB)接收到的FSK(频移键控)突发 严重情况下的信噪比)功率水平 (〜-50 dB信噪比)干扰。结果表明 该算法可以在不到2 ms的时间内捕获FSK突发,并保持 当其他信号出现并消失时,捕获信号 信号开启时间

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