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Investigation on Space-Time Signal Processing Technology Based on Data Channelization

机译:基于数据信道化的时空信号处理技术研究

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High accuracy of parameter estimation and real-time processing is difficult in electronic support management signal processing with low SNR(Signal-Noise-Ratio). Traditional algorithms can be only effective for high SNR. In this work, classical spatial spectrum estimation is integrated with data channelization and a frequency and DOA (Direction-of-arrival) cascade estimation method based on data channelization is proposed. The simulations show that the algorithm is effective for SNR of -10 dB and the computing speed is improved.
机译:具有低SNR(信噪比)的电子支持管理信号处理中的参数估计和实时处理的高精度是困难的。传统算法只能为高SNR有效。在这项工作中,提出了经典的空间频谱估计,并提出了基于数据信道化的频率和DOA(到达方向)级联估计方法。仿真表明,该算法对-10dB的SNR有效,并且计算速度得到改善。

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