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Performance comparison of time-domain and frequency-domain beamforming techniques for sensor array processing

机译:传感器阵列处理时域和频域波束形成技术的性能比较

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This paper aims to provide performance comparison of various time-domain and frequency-domain beamforming techniques in terms of their execution time on general purpose processors along with the hardware considerations and their processing requirements. MATLAB simulations have been developed for timedomain beamforming techniques that include delay-and-sum, interpolation and quadrature beamforming. Similarly MATLAB simulations have been developed for frequency-domain beamforming techniques that include single-beam and multi-beam beamforming. High resolution beamforming techniques are used to obtain better spatial resolution for sensor arrays in comparison to their beam width. MATLAB simulations have been developed for high resolution beamforming techniques that include MUSIC and Root-MUSIC beamforming. The parameters used in these simulations include number of sensors (M), sensor spacing (d), array frequency (f), number of time samples (N), and sampling rate (fs). This paper shows that frequency-domain beamforming techniques are suitable for sensor arrays in terms of their processing requirements. The simulation results presented in this paper show that frequency-domain beamforming involving FFT and IFFT algorithms can be implemented with ease on general purpose processors and take less execution time as compared to other beamforming techniques which is an essential requirement for real-time systems.
机译:本文旨在针对各种时域和频域波束成形技术在通用处理器上的执行时间以及硬件注意事项和处理要求,提供性能比较。已经针对时域波束形成技术开发了MATLAB仿真,其中包括延迟与和,插值和正交波束形成。类似地,已经针对包括单光束和多光束波束成形的频域波束成形技术开发了MATLAB仿真。相较于其波束宽度,高分辨率波束形成技术用于获得更好的传感器阵列空间分辨率。已经针对包括MUSIC和Root-MUSIC波束成形在内的高分辨率波束成形技术开发了MATLAB仿真。这些模拟中使用的参数包括传感器数量(M),传感器间距(d),阵列频率(f),时间采样数量(N)和采样率(fs)。本文表明,就其处理要求而言,频域波束形成技术适用于传感器阵列。本文提出的仿真结果表明,与FFT和IFFT算法相关的频域波束形成可以在通用处理器上轻松实现,并且与其他波束形成技术相比,执行时间更少,这是实时系统的基本要求。

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