多用户传感器网络系统迭代干扰消除检测

Iterative Interference Cancellation Detection for Wireless Sensor Networks System Supporting Multiple Users

在集中式多用户传感器网络系统中,单个传感器往往需要具备同时观察多个目标属性并将判决结果传送给判决中心的能力;建立了一个由判决中心和多个传感器组成的集中式传感器网络系统,其中每个传感器相对独立地对多个用户的状态同时进行观察,并将其判断结果通过多进制频移键控调制和跳频技术传送给判决中心;经过瑞利信道和高斯噪声的影响,接收到的信号首先经过举手表决算法对所有的用户状态进行判决;对于状态不能确定的用户,则通过代入已经判断的状态和相应的跳频地址对其判决矩阵进行干扰消除,然后再应用举手表决法进行判断;如此通过迭代运算消除多用户的影响,直至得到所有用户的状态。通过仿真结果可以看到,提出的基于举手表决算法的迭代干扰消除检测可以在较低的计算复杂度条件下得到较好的联合判决效果。

In centralized wireless sensor networks （WSNs）, each of the sensors is capable of observing multiple users＇ states and transmitting its local decisions to the fusion center （FC）. In this contribution, we built a centralized framework with one FC and various sensor nodes. Independent sensor nodes observe multiple users synchronously, and then transmit their decisions to the FC via frequency-hopping （FH） and M-ary frequency shift keying （MFSK） techniques over Rayleigh fading channels and Gaussian noise. Based on the received signals, majority vote （MV） fusion rule is employed for the overall detections of all the users＇ states. For undetected users, we implied detected user＇ s states and corresponding FH address for iterative interference cancellation （IIC） until all the users were detected by MV fusion rule. Some simulation results show that the proposed majority vote aided iterative interference cancellation （MV-ICC） fusion rule is capable of achieving acceptable overall detection performance with relative low computation complexity.