中文摘要：

调制方式的自动识别是保证合法通信的关键措施之一,在民用和军用领域都有重要的作用。本文提出了一种在无线传感器网络中多个传感器节点分布式协作识别数字调制信号的新方法。为了克服低信噪比时单接收节点调制识别率低的缺点,实现对MASK,MFSK,BPSK,QPSK以及OFDM这几种典型调制方式的正确识别,首先利用网络中相互协作的多个传感器,从提高网络识别性能出发,在每个传感器节点能耗最小的前提下,根据接收信噪比的大小设计有效的协作方案,得到反映调制类型显著差异的特征参数的新组合,然后利用径向基神经网络对数字调制信号进行识别,并就不同的网络条件,给出了不同的协作方案。仿真结果表明,与单节点调制识别相比,本文设计的调制识别方法具有更高的识别率,并且节点系统更灵活可靠。

英文摘要：

Automatic modulation recognition（AMR） has been one of the key methods to ensure licit communications,and plays a key role in various civilian and military applications.In this paper,a new distributed cooperative recognition method is proposed to recognize different digital modulation types with multiple sensors in wireless sensor networks（WSNs）.In order to enhance the successful recognition rate when SNR is low and realize correct recognition of several classic modulation types such as MASK,MFSK,BPSK, QPSK and OFDM,effective cooperative methods are designed according to SNR of received signal and based on the principle of lowest sensor overhead.A new combination of features is extracted accordingly by several collaborated sensors to improve the performance of the modulation recognition system.Then the features are sent to the Radial Basis Function（RBF） neural network so that modulation types can be recognized.Further more,different cooperative methods introduced in this paper are adaptive to the condition of the sensor networks.To measure the performance of the proposed methods,simulations are carried out to classify different types of modulated signals. The simulation results show that the proposed distributed cooperative algorithm has higher recognition rates with better system reliability compared with that without cooperation.