短波信道的分步平方根卡爾曼濾波
THE DIVIDED-STEP SQUARE ROOT KALMAN FILTERING FOR HF CHANNELS
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摘要: 本文在平方根卡爾曼濾波的基礎(chǔ)上提出了分步平方根卡爾曼濾波理論。此濾波理論包含了原始的平方根卡爾曼算法和梯度算法,由此兩種算法可生成各種形式的簡化算法,運(yùn)算量大為下降,但性能并未顯著降低。故特別適用于實(shí)時(shí)處理的高速短波數(shù)傳系統(tǒng)。
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關(guān)鍵詞:
- 平方根卡爾曼濾波; 分步平方根; 自適應(yīng)均衡
Abstract: This paper develops a divided-step square root Kalman filtering theory based on the classical square root Kalman filtering and the gradient algorithm. Using these two algorithms, various simplified algorithms can be formed. Their computation time is much reduced, but their performances are not degraded remarkably. So, this filtering theory is mors adaptable for high-speed data transmission systems. -
F. M. Hsu, IEEE on IT, IT-28(1982)9, 753-763.[2]D. Godard, IBM J. Res. Develop., 18(1974)5, 267-273. -
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