کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6960314 1451970 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Approximate maximum likelihood estimation of two closely spaced sources
ترجمه فارسی عنوان
برآورد حداکثر احتمال دو منبع نزدیک به فاصله نزدیک
کلمات کلیدی
برآورد حداکثر احتمال احتمال تقریبی، منابع نزدیک به فاصله جهت یافتن
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
The performance of the majority of high resolution algorithms designed for either spectral analysis or Direction-of-Arrival (DoA) estimation drastically degrades when the amplitude sources are highly correlated or when the number of available snapshots is very small and possibly less than the number of sources. Under such circumstances, only Maximum Likelihood (ML) or ML-based techniques can still be effective. The main drawback of such optimal solutions lies in their high computational load. In this paper we propose a computationally efficient approximate ML estimator, in the case of two closely spaced signals, that can be used even in the single snapshot case. Our approach relies on Taylor series expansion of the projection onto the signal subspace and can be implemented through 1D Fourier transforms. Its effectiveness is illustrated in complicated scenarios with very low sample support and possibly correlated sources, where it is shown to outperform conventional estimators.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 97, April 2014, Pages 83-90
نویسندگان
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