DETECTION OF SIGNALS BY INFORMATION THEORETIC CRITERIA
DETECTION OF SIGNALS BY INFORMATION THEORETIC CRITERIA
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DOI：
10.1109/tassp.1985.1164557
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发表时间：
1985-01-01
期刊：
影响因子：
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通讯作者：
KAILATH, T
中科院分区：
文献类型：
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作者：
WAX, M;KAILATH, T
基于Akaike(AIC)和Schwartz and Rissanen(MDL)提出的信息论模型选择准则，提出了一种新的多通道时间序列信号个数检测方法。与传统的基于假设检验的方法不同，新方法不需要任何主观阈值设置；信号的数目仅通过最小化AIC或MDL准则来获得。仿真结果表明了新方法对传感器阵列接收信号个数的检测性能。
A new approach is presented to the problem of detecting the number of signals in a multichannel time-series, based on the application of the information theoretic criteria for model selection introduced by Akaike (AIC) and by Schwartz and Rissanen (MDL). Unlike the conventional hypothesis testing based approach, the new approach does not requite any subjective threshold settings; the number of signals is obtained merely by minimizing the AIC or the MDL criteria. Simulation results that illustrate the performance of the new method for the detection of the number of signals received by a sensor array are presented.