Computationally Efficient Joint Demodulation For Sensor Arrays

计算有效的联合解调传感器ArraysAbstractThe拟议的研究的目的是实现数量级的改进，在干扰缓解能力的天线阵列与其相关的多通道数字信号处理算法，目前可达到的性能相比，使用传统的线性处理。 激发商业应用包括高容量蜂窝电话、个人通信系统和无线局域网。 干扰减轻能力的这种巨大增加转化为系统容量的类似幅度的增加。 由于对通信能力的需求不断增加，这种突破的商业价值将是巨大的。 正在研究的信号处理方法是联合解调的多个信号使用多通道维特比算法修改交易的信号质量的计算成本。 目标是1）表征可以分离的干扰信号的数量，以及2）表征在保持可接受的比特差错率的同时可以实现的维特比算法的复杂度的降低程度，两者都作为阵列中天线元件的数量的函数，并且通过信噪比来参数化。 模拟的干扰环境模拟具有GSM和/或IS-136信令的蜂窝电话信道。

Computationally Efficient Joint Demodulation for Sensor ArraysAbstractThe objective of the proposed research is to realize order-of-magnitude improvements in the interference mitigation capability of an antenna array with its associated multi-channel digital signal processing algorithms, compared with performance presently attainable using conventional linear processing. The motivating commercial applications include high-capacity cellular telephony, personal communications systems, and wireless local area networks. Such huge increases in interference mitigation capability translate to similar magnitude increases in system capacity. With no end in sight to the accelerating demands on communications capacity, the commercial value of a breakthrough of this type would be tremendous. The signal processing method being investigated is joint demodulation of multiple signals using a multichannel Viterbi algorithm modified to trade signal quality for computational cost. The goals are to 1) characterize the number of interfering signals that can be separated and 2) characterize the degree of reduction in complexity of the Virterbi algorithm that can be realized while maintaining acceptable bit-error-rate, both as functions of the number of antenna elements in the array, and parameterized by signal-to-noise ratio. The interference environments simulated model cellular telephone channels with GSM and/or IS-136 signaling.