Bazuhair Basem, Aldayel Omar
Department of Electrical Engineering, King Saud University, Riyadh 11421, Saudi Arabia.
Sensors (Basel). 2023 Nov 7;23(22):9026. doi: 10.3390/s23229026.
In multiple array communication or radar systems, waveform diversity can be utilized for beampattern design. However, one of the critical issues for such systems is the presence of mutual coupling, which degrades the beampattern design's quality. We address the calibration of the mutual coupling of transmit arrays by developing a new matrix-inversion-free algorithm that requires only a single antenna receiver. It has a very low computational complexity for accelerating the mutual coupling calibration compared to previous methods; therefore, it can be utilized for large array systems such as massive multiple-input-single-output (MISO) systems. The key idea here revolves around utilizing fast Fourier transform (FFT). This approach simplifies matrix calculations and reduces the number of multiplications required to compute the inverse of FFT. Moreover, the algorithm is applicable for high-power active radar calibration, since it incorporates a constant modulus training sequence. The application of the algorithm in MISO systems, including massive MISO, offers the potential for calibrating mutual coupling. It enables the precise measurement and compensation of mutual coupling effects, improving the signal quality and system performance in areas such as radars, mobile communications and more. We evaluated the proposed algorithm under various scenarios, compared it with the ground truth and showed that it achieves excellent performance with few computations.
在多阵列通信或雷达系统中,波形分集可用于波束图设计。然而,此类系统的关键问题之一是存在互耦,这会降低波束图设计的质量。我们通过开发一种仅需单个天线接收器的新型免矩阵求逆算法来解决发射阵列互耦的校准问题。与先前方法相比,它在加速互耦校准方面具有非常低的计算复杂度;因此,它可用于诸如大规模多输入单输出(MISO)系统等大型阵列系统。这里的关键思想围绕利用快速傅里叶变换(FFT)展开。这种方法简化了矩阵计算并减少了计算FFT逆所需的乘法次数。此外,该算法适用于高功率有源雷达校准,因为它包含一个恒模训练序列。该算法在包括大规模MISO在内的MISO系统中的应用为校准互耦提供了可能。它能够精确测量和补偿互耦效应,在雷达、移动通信等领域提高信号质量和系统性能。我们在各种场景下评估了所提出的算法,将其与实际情况进行比较,结果表明它在计算量很少的情况下实现了优异的性能。