基于魯棒卡爾曼濾波的盲自適應(yīng)多用戶(hù)檢測(cè)算法
Blind Adaptive Multiuser Detector Based on Robust Kalman Filter
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摘要: 提出一種新的基于虛擬噪聲補(bǔ)償技術(shù)的魯棒卡爾曼濾波估計(jì)異步CDMA系統(tǒng)多用戶(hù)接收器的最優(yōu)判決向量的方法,構(gòu)造出一種收斂速度快、跟蹤性能好、數(shù)值穩(wěn)定性好的高性能盲自適應(yīng)多用戶(hù)檢測(cè)算法。仿真實(shí)驗(yàn)表明, 該文提出的方法具有很強(qiáng)的抗多址干擾能力和較高的數(shù)值魯棒性。
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關(guān)鍵詞:
- 碼分多址; 多址干擾; 盲自適應(yīng)多用戶(hù)檢測(cè); 魯棒卡爾曼濾波
Abstract: A high performance blind adaptive multiuser detection algorithm is proposed by introducing robust Kalman filter based on a compensation technique of a fictitious noise to estimate the optimal decision vector of asynchronous CDMA multiple-users receiver. This algorithm can converge rapidly, track in high accuracy and has satisfied numeric stability. Simulation results show that this algorithm can eliminate Multiple Access Interference (MAI) efficiently and is robust for numerical calculation. -
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