信号の周期定常性に基づいたアンテナビーム形成

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Due to the limitations of the available frequency bands for future mobile communication systems, the applications of array beamforming have attracted considerable attention to enhance the desired signals and to reduce the unavoidable interference, where the beams in the antenna pattern are artificially formed by a linear combination of the sensor outputs in the directions of desired signals, While minimizing the influence of the others under some suitable optimization criteria. The conventional adaptive beamforming requires the prior information of either the directions of arrival (DOA) or the waveform of the desired signals to adapt the weights. In some applications, there may be more signals including both the desired signals and interference present than sensors in the array, and/or the spatial characteristics of the noise and interference are unknown, furthermore the interference may be the modulated signals with the same or different types to the desired ones. In this paper, on the motivation of that the cyclostationary property that most different types of modulated signals in communications have highly distinct cyclic correlation functions with a known cycle frequency, which are typically equal to the doubled carrier frequency or a multiple of the baud rates or both, whlei the stationary signals do not exhibit no cyclostationarity with the same one [1], we propose a new cyclic array beamforming method. The DOA is estimated by a high-resolution direction finding algorithm, and the optimum weights of the linear combination is determined according to the multiple linear constraints.
社団法人電子情報通信学会の論文
1997-03-06

信号の周期定常性に基づいたアンテナビーム形成

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