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Robust Blind Pic With Adaptive Despreader And Improved Interference Estimator

机译:具有自适应解扩器和改进的干扰估计器的稳健盲Pic

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An effective design of multistage parallel interference cancellation (PIC) receiver using blind adaptive (BA) despreader and pre-respreader interference estimator for uplink CDMA is proposed and analysed. A novel algorithm is designed, which exploits constant modulus (CM) property of the users' transmitted signals and inherent channel condition to perform adaptive despreading based on minimum error variance criteria. This is carried out by BA weighting of each chip signal for accurate tracking of the desired user's signal power and hence for more improved data detection at the output of each stage of PIC. Furthermore, the despreader weights are used within the adaptive pre-respreader interference estimation and cancellation to obtain online scaling factors during every symbol period, without any knowledge of users' channels or the use of training sequences. It is found that this way of estimation is optimal in minimum mean squared error sense, and hence, significant reduction in interference and noise variance is observed in detection and estimation of the desired users' signals compared with conventional PIC. Bit error probability of the proposed PIC is obtained using Gaussian Approximation method. Extensive simulation results are shown, which demonstrate impressive performance advantage in fading environments, high system loading, and severe near far conditions.
机译:提出并分析了采用盲自适应扩频器和预扩频器干扰估计器的多级并行干扰消除(PIC)接收机的有效设计。设计了一种新颖的算法,该算法利用用户传输信号的恒定模量(CM)特性和固有信道条件,根据最小误差方差准则执行自适应解扩。这是通过对每个芯片信号进行BA加权来实现的,以精确跟踪所需用户的信号功率,从而在PIC每个级的输出端进行更好的数据检测。此外,在自适应预扩频器干扰估计和消除内使用解扩频器权重,以在每个符号周期内获得在线缩放因子,而无需了解用户信道或使用训练序列。已经发现,这种估计方式在最小均方误差意义上是最佳的,因此,与常规PIC相比,在检测和估计所需用户信号时观察到干扰和噪声方差的显着降低。所提出的PIC的误码率是使用高斯近似方法获得的。给出了广泛的仿真结果,这些结果证明了在衰落环境,高系统负载和严峻的近距离条件下令人印象深刻的性能优势。

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