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In this project, we aim to thoroughly analyze and design the minimum mean-square error (MMSE) multiuser receiver for uniformly quantized synchronous code division multiple access (CDMA) signals in additive white Gaussian noise (AWGN) channels. This research is primarily focused on the representation of the uniform quantizer by the gain plus additive noise model, which allows us to gain a deeper understanding of the system. By utilizing this model, we are able to derive the weight vector and the output signal-to-interference ratio (SIR) of the MMSE receiver, enabling us to evaluate its performance under different conditions.
One of the key aspects that we investigate in this project is the effects of quantization on the MMSE receiver performance. We believe that by characterizing these effects using a single parameter called the "equivalent noise variance," we can gain valuable insights into how the quantization process impacts the overall performance of the receiver. Additionally, we also determine the optimal quantizer stepsize that maximizes the output signal-to-noise ratio (SNR) of the MMSE receiver, ensuring that we can achieve the highest possible performance.
By conducting a comprehensive analysis and leveraging the gain plus additive noise model, we are confident that our research will contribute significantly to the field of MMSE receivers for uniformly quantized synchronous CDMA signals in AWGN channels.