CAJ | 학술논문

该文针对时变频率选择性衰落信道下高阶连续相位调制(CPM)信号盲均衡中存在的均衡性能较差、复杂度较高以及收敛速度慢等问题，从双向自适应信道均衡的角度出发，将线性调制信号均衡中使用的前后向自适应软输入软输出(FABA-SISO)算法推广，建立一种新的基于FABA-SISO的信道盲均衡方法，并结合逐幸存处理(PSP)思想和Kalman滤波，提出一种适用于高阶CPM信号的自适应盲均衡算法。该算法通过使用FABA-SISO算法，同时利用过去、现在和将来的观察数据进行 Kalman 滤波信道估计，有效改善了信道估计的精度，同时使用 PSP算法来降低系统的复杂度，使得算法具有较好的工程应用性。仿真结果表明所提算法具有良好的盲均衡性能以及收敛性。
해문침대시변빈솔선택성쇠락신도하고계련속상위조제(CPM)신호맹균형중존재적균형성능교차、복잡도교고이급수렴속도만등문제，종쌍향자괄응신도균형적각도출발，장선성조제신호균형중사용적전후향자괄응연수입연수출(FABA-SISO)산법추엄，건립일충신적기우FABA-SISO적신도맹균형방법，병결합축행존처리(PSP)사상화Kalman려파，제출일충괄용우고계CPM신호적자괄응맹균형산법。해산법통과사용FABA-SISO산법，동시이용과거、현재화장래적관찰수거진행 Kalman 려파신도고계，유효개선료신도고계적정도，동시사용 PSP산법래강저계통적복잡도，사득산법구유교호적공정응용성。방진결과표명소제산법구유량호적맹균형성능이급수렴성。
To solve the issues of the high complexity, poor performance, and slow convergence speed in the blind equalization of high order Continuous Phase Modulation (CPM) signals, a new blind equalization method based on Forward Adaptive Backward Adaptive Soft-Input Soft-Output (FABA-SISO) algorithm used in linear modulation signals is developed from the perspective of bidirectional adaptive channel equalization. A novel adaptive blind equalization algorithm for high order CPM signals is proposed based on the combination of Per-Survivor Processing (PSP) and Kalman filtering. The algorithm improves the equalization performance by applying the FABA-SISO which uses the past, the present and the future observation to implement Kalman filtering channel estimation. Simultaneously, a PSP algorithm is used for further improvement of the system complexity, so that the algorithm is better suitable for engineering application. The simulation results show that the proposed algorithm provides a good blind equalization performance and convergence.