基于高阶累积量和三角矩的联合多参数特征OFDM信号盲识别

提出一种瑞利衰落信道条件下的多载波调制盲识别算法,用以区分多载波调制信号(如OFDM)和数字单载波调制信号(如:MASK、MFSK、MPSK、MQAM)。该算法对传统算法进行了改进,提出了利用信号的高阶累积量构造的组合识别参数以及信号的三角矩特征参数来分类单载波信号与OFDM多载波信号。该算法不需要预先知道信号的载波频率和波特率,只需从中频信号直接进行识别处理。仿真结果表明,该算法具有抗多径能力强、识别率高的优点,在SNR高于0 dB时识别率可达100%。

Blind recognition of joint multi-parameter OFDM signals based on high-order cumulants and trigonometric moments characteristics

In this paper,a multi-carrier modulation blind identification algorithm under the conditions of Rayleigh fading channels was proposed to distinguish between multi-carrier modulation signals(such as OFDM) and digital single-carrier signals (such as:MASK,MFSK,MPSK,MQAM).The traditional method was improved by using the characteristic parameters that was composed of some high-order cumulants and trigonometric moments.New algorithm distinguished single-carrier signals and multi-carrier OFDM signals according to the characteristics parameters that had been defined.The algorithm does not need to know the carrier frequency and the baud rate of the unknown signals in advance,simply needs to deal with the intermediate frequency signal directly. The simulation results show that the algorithm has the advantages of strong anti-multipath,high recognition rate,and it can get up to 100 percent recognition rate when the SNR is greater than 0dB.