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针对统计量算法盲检测多进制振幅键控(MPSK)信号的缺陷, 提出了一种幅值相位型连续多值复数Hopfield神经网络算法, 构造了适用于MPSK信号的幅相型离散多电平激活函数,并分别在异步和同步更新模式下证明了该神经网的稳定性.当该神经网的权矩阵借助接收数据补投影算子构成时, 该幅相型离散Hopfield神经网络可有效地实现MPSK信号盲检测. 仿真试验表明:该算法所需接收数据较短,可到达全局真解点,并且适用于含公零点信道.
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关键词:
- 幅值相位型离散Hopfield神经网络 /
- 盲检测 /
- 多进制振幅键控信号
Considering the disadvantage of the algorithms based on statistics, a novel algorithm based on complex Hopfield neural network with amplitude-phase-type hard-multistate-activation-function (CHNN-APHM) is proposed to detect M-ary quaternary phase shift keying (MPSK) signals blindly. An amplitude-phase-type hard-multistate-activation-function is constructed. The stabilities of the CHNN-APHM with asynchronous and synchronous operating mode are also analyzed separately. While the weighted matrix of CHNN-APHM is constructed by the complementary projection operator of received signals, the problem of quadratic optimization with integer constraints can be successfully solved with the CHNN-APHM, and the MPSK signals are blindly detected. Simulation results show that the algorithm reaches the real equilibrium points with shorter received signals and if is applicable for channel with common zeros.-
Keywords:
- complex Hopfield neural network with amplitude-phase-type hard-multistate-activation-function (CHNN-APHM) /
- blind detection /
- MPSK
[1] Jankowski S, Lozowski A, Zurada J M 1996 IEEE Trans. Neural Networks 7 1491
[2] Muezzinoglu M K, Guzelics C, Zurada J M 2003 IEEE Trans. Neural Networks 14 891
[3] Zhou W, Zurada J M 2009 IEEE Trans. Circuits and Systems-II: Express Briefs 56 669
[4] Zhou W, Zurada J M 2009 Neurocomputing 72 3782
[5] Lee D L 2006 IEEE Trans. Neural Networks 17 1341
[6] Zurada J M, Cloete I, Poe1 E 1996 Neurocomputing 13 135
[7] Zurada J M 2000 Proc. of the 30th IEEE International Symposium on Multiple-Valued Logic Portland, Oregon, May 23-25, 2000 p67
[8] Zhang Y, Zhang Z Y 2011 Acta Phys. Sin. 60 090703 (in Chinese) [张昀, 张志涌 2011 60 090703]
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[1] Jankowski S, Lozowski A, Zurada J M 1996 IEEE Trans. Neural Networks 7 1491
[2] Muezzinoglu M K, Guzelics C, Zurada J M 2003 IEEE Trans. Neural Networks 14 891
[3] Zhou W, Zurada J M 2009 IEEE Trans. Circuits and Systems-II: Express Briefs 56 669
[4] Zhou W, Zurada J M 2009 Neurocomputing 72 3782
[5] Lee D L 2006 IEEE Trans. Neural Networks 17 1341
[6] Zurada J M, Cloete I, Poe1 E 1996 Neurocomputing 13 135
[7] Zurada J M 2000 Proc. of the 30th IEEE International Symposium on Multiple-Valued Logic Portland, Oregon, May 23-25, 2000 p67
[8] Zhang Y, Zhang Z Y 2011 Acta Phys. Sin. 60 090703 (in Chinese) [张昀, 张志涌 2011 60 090703]
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