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In this paper, a receive antenna selection algorithm based on the theory of convex optimization is proposed to improve the system performance over Rayleigh fading multiple-input multiple-output (MIMO) channels. The algorithm is based on the aim of minimizing error rate, and by relaxing the antenna selection variables from discrete to continuous, we arrive(More)
The problem of direction-of-arrival (DOA) estimation is investigated for co-prime array, where the co-prime array consists of two uniform sparse linear subarrays with extended inter-element spacing. For each sparse subarray, true DOAs are mapped into several equivalent angles impinging on the traditional uniform linear array with half-wavelength spacing.(More)
In downlink broadcast channels, the multiple-antenna base station (BS) often communicates with several users simultaneously. However, the co-channel interference increases as the number of users increases, therefore, BS can not afford too many users. So user selection is necessary. In this paper, we propose a suboptimal user selection algorithm based on(More)
In this paper, we propose a computationally efficient spatial differencing matrix set (SDMS) method for two-dimensional direction of arrival (2D DOA) estimation with uniform rectangular arrays (URAs) in a low-grazing angle (LGA) condition. By rearranging the auto-correlation and cross-correlation matrices in turn among different subarrays, the SDMS method(More)