基于FABA-SISO的時變頻率選擇性衰落信道CPM信號盲均衡
doi: 10.11999/JEIT150026 cstr: 32379.14.JEIT150026
基金項目:
國家自然科學基金(61072046)和河南省基礎與前沿技術研究計劃項目(102300410008)
Blind Equalization Based on FABA-SISO for Continuous Phase Modulation Signals over Time-varying Frequency-selective Fading Channels
Funds:
The National Natural Science Foundation of?China?(61072046)
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摘要: 該文針對時變頻率選擇性衰落信道下高階連續(xù)相位調制(CPM)信號盲均衡中存在的均衡性能較差、復雜度較高以及收斂速度慢等問題，從雙向自適應信道均衡的角度出發(fā)，將線性調制信號均衡中使用的前后向自適應軟輸入軟輸出(FABA-SISO)算法推廣，建立一種新的基于FABA-SISO的信道盲均衡方法，并結合逐幸存處理(PSP)思想和Kalman濾波，提出一種適用于高階CPM信號的自適應盲均衡算法。該算法通過使用FABA-SISO算法，同時利用過去、現(xiàn)在和將來的觀察數(shù)據(jù)進行Kalman濾波信道估計，有效改善了信道估計的精度，同時使用PSP算法來降低系統(tǒng)的復雜度，使得算法具有較好的工程應用性。仿真結果表明所提算法具有良好的盲均衡性能以及收斂性。
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關鍵詞:
- 連續(xù)相位調制 /
- 時變頻率選擇性衰落信道 /
- 盲均衡 /
- 前后向自適應軟輸入軟輸出算法 /
- 逐幸存處理 /
- Kalman濾波
Abstract: 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. -
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