多变量系统辨识的互补序列

1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes Pub Date : 1980-12-01 DOI:10.1109/CDC.1980.271889

R. Wilson

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引用次数: 0

摘要

高效的生成和相关算法，结合理想的非周期相关特性，使互补序列成为多变量系统辨识中二值最大长度序列(b.m.l.s)的有效替代品。描述了减少误差对响应估计影响的技术，并通过仿真进行了测试。

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Complementary sequences for multivariable system identification

Efficient generation and correlation algorithms, combined with ideal aperiodic correlation properties, make complementary sequences a useful alternative to binary maximal length sequences (b.m.l.s) in multivariable system identification. Techniques for reducing the effects of errors on the response estimates are described and tested by simulation.

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1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes

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