In this paper we are focused on the Multi-Carrier Code Division Multiple Access (MC-CDMA) equalization problem. The equalization is performed using the Minimum Mean Square Error (MMSE) and Zero Forcing (ZF) equalizer based on the identified parameters representing the indoor scenario (European Telecommunications Standards Institute Broadband Radio Access Networks (ETSI BRAN A) channel model), and outdoor scenario (ETSI BRAN E channel model). These channels are normalized for fourth-generation mobile communication systems. However, for such high-speed data transmissions, the channel is severely frequencyselective due to the presence of many interfering paths with different time delays. The identification problem is performed using the Least Mean Squares (LMS) algorithm and the Takagi-Sugueno (TS) fuzzy system. The comparison between these techniques, for the channel identification, will be made for different Signal to Noise Ratios (SNR).
In this paper, we present an original spectral technique for estimating the Direction of Arrival (DoA) of narrowband sources impinging on an array of sensors. In this approach, we use the exponential of inter spectral matrix of received data with Gaussian function to annihilate the eigenvalues corresponding to the signal subspace in order to obtain an approximation of the projector into the noise subspace, this mechanism requires the knowledge of the minimum eigenvalue which we compute using the power method.We elaborate this new concept with some tools of quantum formalism and we confirm the accuracy of its theoretical basis by Monte Carlo simulation results comparatively to the standard high resolution techniques.
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