Reduced Complexity Antenna Array Calibration Algorithm

V. Djigan
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Abstract

A phase-less algorithm of the antenna array calibration is presented in this paper. The algorithm is used to estimate and compensate the signal phase lag variation in the array channels. The estimated phase lags include the lags, caused by the channel equipment, and the lags, caused by the signal source spatial location in the case of the receiving array or, otherwise, the receiver spatial location in the case of the transmitting array. The compensation of the first-mentioned phase lags means the array calibration and the compensation of the second-mentioned phase lags means the array calibration and beam steering simultaneously, because the channel, space and phase lags are not separable. The proposed algorithm requires $\boldsymbol{4+4(M-1)}$ measurements of the array output power after the changing of the signal phase to the specific values sequentially in the pairs of the reference and each of the calibrated channels of the array. Here, $\boldsymbol{M}$ is the number of the array channels. This algorithm requires about 33% less power measurements, and therefore has less complexity comparing to the similar calibration algorithm, which requires $\boldsymbol{2+6(M-1)}$ of such measurements. The accuracy of the channel phase estimation using the proposed or known calibration algorithm does not exceed the value of one discrete of the phase quantization by means of the digitally controlled phaseshifter. The proposed algorithm can be used in arrays of arbitrary geometric configuration.
降低复杂度的天线阵列校准算法
提出了一种天线阵的无相校正算法。该算法用于估计和补偿阵列信道中信号的相位滞后变化。估计的相位滞后包括由信道设备引起的滞后,以及由接收阵列的信号源空间位置引起的滞后,或者,在发射阵列的情况下,接收器空间位置引起的滞后。由于信道滞后、空间滞后和相位滞后是不可分离的,因此第一种相位滞后的补偿意味着阵列校准,第二种相位滞后的补偿意味着阵列校准和波束转向同时进行。所提出的算法需要$\boldsymbol{4+4(M-1)}$测量信号相位依次在参考通道和阵列的每个校准通道对中变为特定值后的阵列输出功率。这里,$\boldsymbol{M}$是数组通道的数目。与同类校准算法(需要$\boldsymbol{2+6(M-1)}$的功耗测量量相比,该算法的功耗测量量减少了约33%,因此具有较低的复杂度。使用所提出的或已知的校准算法进行信道相位估计的精度不超过通过数字控制移相器进行相位量化的一个离散值。该算法可用于任意几何结构的阵列。
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