噪声环境下信号相位获取的快速算法

提出一种基于快速傅立叶变换(FFT)的算法来计算噪声环境中的有用信号相位,可用于无线通信中双传声器应用系统中的自适应定向。通过理论推导和仿真结果给出有效计算有用信号相位,进而提供有效减小来自目标信号不同方向噪声的方法。与其他一些可用的方法相比,此方法实现简单,可以消除处理单元的附加时延,有效解决传声器适配问题,并可排除目标信号必须严格的在正前方的假设。

Fast Algorithm of Signal Phase Acquisition in Noisy Environments

This paper proposes a Fast Fourier transform (FFT) based algorithm to compute the desired signal phase in noisy environments for implementing adaptive directionality of dual microphone application systems such as wireless communications. By theoretical deduction and simulation results, the proposed scheme can compute effectively the desired signal phase and can further provide an effective reduction of the noise that comes in different direction from the one of the target signal. In comparison with other available methods, the proposed scheme provides following advantages: a simple and realizable implementation structure; the elimination of an additional delay processing unit for endfire orientation microphones; an effective solution of microphone mismatch problem and the elimination of the assumption that the target signal must be exactly straight ahead.