NDLI: On the use of order selection rules for accurate parameter estimation in threshold region

Content Provider	IEEE Xplore Digital Library
Author	Kefei Liu da Costa, J.P.C.L. So, H.C. Roemer, F. Lei Huang de Sousa, R.T.
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China (Kefei Liu; So, H.C.) \|\| Dept. of Electron. & Inf. Eng., Harbin Inst. of Technol., Shenzhen, China (Lei Huang) \|\| Dept. of Electr. Eng., Univ. of Brasilia, Brasilia, Brazil (da Costa, J.P.C.L.; de Sousa, R.T.) \|\| Digital Broadcasting Res. Lab., Ilmenau Univ. of Technol., Ilmenau, Germany (Roemer, F.)
Abstract	Finding the number of signals is crucial to parametric direction-of-arrival (DOA) estimation methods such as MUSIC and ESPRIT. In challenging scenarios such as low signal-to-noise ratio (SNR) and/or presence of closely-spaced sources, only part of the parameters can be accurately estimated while others cannot. The number of former estimates is termed as the effective model order (EMO). We first propose a procedure to determine the EMO via Monte Carlo simulation. Ideally an order selection rule should return a source number estimate equal to EMO, since using an overestimated signal number larger than the EMO in a parameter estimator introduces inaccurate parameter estimates, which is a waste of resources in some applications, while using an underestimate renders some strong signals being treated as noise, which causes an accuracy loss in their parameter estimates. We propose to combine an under-enumerator with an over-enumerator for accurate parameter estimation in the threshold region. Simulations results using the combination of the Baysian information criterion with Akaike information criterion in ESPRIT show that our proposal retains the benefit of the under-enumerators with only accurate estimates while remarkably improves the estimation accuracy.
Starting Page	1
Ending Page	5
File Size	605424
Page Count	5
File Format	PDF
ISBN	9780992862602
ISSN	20761465
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-09
Publisher Place	Morocco
Access Restriction	Subscribed
Rights Holder	EURASIP
Subject Keyword	Accuracy Parameter estimation Array processing Estimation Order selection Effective model order Frequency estimation Joint detection and estimation Arrays Threshold region Signal to noise ratio
Content Type	Text
Resource Type	Article

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