系统工程与电子技术
繫統工程與電子技術
계통공정여전자기술
Systems Engineering and Electronics
2015年
10期
2383-2390
,共8页
Hammerstein 非线性信道%非线性特性%有记忆特性%最小二乘拟合
Hammerstein 非線性信道%非線性特性%有記憶特性%最小二乘擬閤
Hammerstein 비선성신도%비선성특성%유기억특성%최소이승의합
Hammerstein nonlinear channel%nonlinearity%memory effect%least square fitting
为了应对信道非线性特性引起的非线性失真，提高通信性能，研究一种 Hammerstein 信道非线性有记忆特性判定算法。基于 GM 线性模型辨识算法，引入复信号高阶累积量，推导复信号下 Hammerstein 线性模块辨识算法，并判定信道记忆特性。而后构造基于最小二乘的参数拟合模型，推导不同拟合阶数下线性和非线性信道拟合性能关系，并以此为依据完成信道非线性有记忆特性的判定。仿真实验表明，算法对输入为多进制相移键控（multiple phase shift keying，MPSK）和多进制正交幅度调制（multiple quadrature amplitude modulation， MQAM）信号，最大非线性强度（max nonlinear intensity，MND）下的 Hammerstein 信道有较好的辨识性能。
為瞭應對信道非線性特性引起的非線性失真，提高通信性能，研究一種 Hammerstein 信道非線性有記憶特性判定算法。基于 GM 線性模型辨識算法，引入複信號高階纍積量，推導複信號下 Hammerstein 線性模塊辨識算法，併判定信道記憶特性。而後構造基于最小二乘的參數擬閤模型，推導不同擬閤階數下線性和非線性信道擬閤性能關繫，併以此為依據完成信道非線性有記憶特性的判定。倣真實驗錶明，算法對輸入為多進製相移鍵控（multiple phase shift keying，MPSK）和多進製正交幅度調製（multiple quadrature amplitude modulation， MQAM）信號，最大非線性彊度（max nonlinear intensity，MND）下的 Hammerstein 信道有較好的辨識性能。
위료응대신도비선성특성인기적비선성실진，제고통신성능，연구일충 Hammerstein 신도비선성유기억특성판정산법。기우 GM 선성모형변식산법，인입복신호고계루적량，추도복신호하 Hammerstein 선성모괴변식산법，병판정신도기억특성。이후구조기우최소이승적삼수의합모형，추도불동의합계수하선성화비선성신도의합성능관계，병이차위의거완성신도비선성유기억특성적판정。방진실험표명，산법대수입위다진제상이건공（multiple phase shift keying，MPSK）화다진제정교폭도조제（multiple quadrature amplitude modulation， MQAM）신호，최대비선성강도（max nonlinear intensity，MND）하적 Hammerstein 신도유교호적변식성능。
In order to eliminate the nonlinear distortion caused by channel nonlinearity and improve the com-munication performance,an algorithm of memory effect and nonlinearity judgment for Hammerstein channel is discussed.Based on the GM identification algorithm for linear model,the memory block identification is deriva-ted by introducing the plural higher order cumulant,meanwhile memory effect is determined depending on the memory depth.Then construct parameter fitting model based on least square fitting algorithm and derivate the relationship of fitting performance for linear and nonlinear channels in different fitting order.On this basis,the memory effect and nonlinearity judgment for Hammerstein channel is achieved.Simulation results show that the proposed algorithm has a good recognition performance for Hammerstein channel of certain max nonlinear intensity (MND)with multiple phase shift keying (MPSK)and multiple quadrature amplitude modulation (MQAM)inputs.
