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Blind adaptation algorithms for direct-sequence spread-spectrum CDMA single-user detection

机译:直接序列扩频CDMA单用户检测的盲自适应算法

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Single-user detection techniques mitigate multiple access interference and the near-far problem in direct-sequence spread-spectrum CDMA systems. Trained adaptation algorithms are commonly used to adapt the receivers. Two blind adaptation algorithms, the Griffths' (1989) algorithm and the linearly constrained constant modulus algorithm (LCCMA), are proposed for this application. Simulation results show a performance greatly superior to that of the conventional receiver and close to the case of trained adaptive receivers. Blind adaptation allows for a much more flexible network design by eliminating the need for a training sequence.
机译:单用户检测技术减轻了多址干扰和直接序列扩频CDMA系统中的近距离问题。训练有素的自适应算法通常用于自适应接收器。两种盲适应算法,Griffths(1989)算法和线性约束恒定模量算法(LCCMA),被提出用于该应用。仿真结果表明,其性能大大优于常规接收机,并且接近训练有素的自适应接收机。盲适应功能通过消除对训练序列的需求,可以实现更加灵活的网络设计。

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