CAJ | 학술논문

为了使已有 PSK 信号信噪比估计算法在平坦衰落信道下,能够同时满足估计范围大、估计精度高的要求,提出了一种基于相关向量机(RVM, relevance vector machine)的信噪比估计新算法.该方法在建立起信噪比与二阶、四阶矩之间关系的基础上,应用相关向量机建立估计模型,并通过训练学习,得到可靠的模型权值.实验表明,利用测试数据对信号信噪比进行估计时,相对于其他算法,该算法具有使用数据量少,估计范围广,在有效的估计范围内,估计精度较高,且适用于多种调制信号的特点.
위료사이유 PSK 신호신조비고계산법재평탄쇠락신도하,능구동시만족고계범위대、고계정도고적요구,제출료일충기우상관향량궤(RVM, relevance vector machine)적신조비고계신산법.해방법재건립기신조비여이계、사계구지간관계적기출상,응용상관향량궤건립고계모형,병통과훈련학습,득도가고적모형권치.실험표명,이용측시수거대신호신조비진행고계시,상대우기타산법,해산법구유사용수거량소,고계범위엄,재유효적고계범위내,고계정도교고,차괄용우다충조제신호적특점.
A new SNR estimation algorithm based on relevance vector machine (RVM) was proposed, it can not only be used under the flat fading channel, but also meet the request of larger estimation range and higher estimation accuracy of PSK. The estimation model was created by using RVM, based on the relation between the SNR and the two-order mo-ments and four-order moments, and the reliable weights of the model can be figured out by straining and studying. Simu-lation results show that this algorithm has lots of advantages, for example, it uses less data and has larger estimation range than general algorithm, in addition, its estimation accuracy becomes higher in the effective estimation rang, and it is ap-plicable to more modulation signals.