Far-Field Incident Signal Number Estimation Based on AIC and MDL Criteria Developed in MATLAB Environment
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Resource Overview
Developed in MATLAB, this far-field incident signal number estimation method using AIC (Akaike Information Criterion) and MDL (Minimum Description Length) criteria achieves high estimation accuracy and demonstrates excellent simulation performance, making it suitable for practical signal processing applications.
Detailed Documentation
A novel far-field incident signal number estimation method has been developed in MATLAB environment based on AIC and MDL criteria. The implementation involves eigenvalue decomposition of the covariance matrix and statistical model selection, where AIC tends to overestimate while MDL provides more conservative estimates. This approach not only accurately determines the number of signals but also exhibits outstanding performance in simulations. The method enables more precise analysis and understanding of far-field incident signal characteristics, providing reliable data support for related applications through systematic threshold comparison and information-theoretic model selection algorithms.
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