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首页> 外文期刊>International Journal of Adaptive Control and Signal Processing >Discrete-time Lyapunov stable-staggered estimator MIMO adaptive interference cancelation with experimental verification
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Discrete-time Lyapunov stable-staggered estimator MIMO adaptive interference cancelation with experimental verification

机译:具有实验验证的离散时间Lyapunov稳定交错估计器MIMO自适应干扰消除

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摘要

Adaptive interference cancelation is of vital importance in a broad array of scientific and engineering disciplines. In this paper we develop a closed-loop discrete-time interference cancelation algorithm. The novel features of this algorithm are its ability to deal with multiple channels being affected by interferences with different frequency spectrums. Also we provide a proof of Lyapunov stability of closed-loop system and asymptotically perfect interference cancelation for a class of interference signals. Furthermore, we introduce a new approach for updating the estimator through the use of staggered estimate. The goal of staggered estimation is to minimize the total number of estimates/calculations done within a time period while ensuring that there is no estimator aliasing. Finally, the proposed algorithm is implemented on an TMS320C6713 DSP Kit and an experimental verification is obtained.
机译:自适应干扰消除在广泛的科学和工程学科中至关重要。在本文中,我们开发了一种闭环离散时间干扰消除算法。该算法的新颖之处在于它具有处理受不同频谱干扰影响的多个信道的能力。我们还提供了一类闭环系统的Lyapunov稳定性和一类干扰信号渐近完美干扰消除的证明。此外,我们介绍了一种通过使用交错估计来更新估计量的新方法。交错估算的目的是在确保没有估算器混叠的同时,最小化一个时间段内估算/计算的总数。最后,该算法在TMS320C6713 DSP套件上实现,并得到了实验验证。

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