کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1712925 1013209 2008 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Novel antenna selection algorithm based on Tanimoto similarity
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Novel antenna selection algorithm based on Tanimoto similarity
چکیده انگلیسی
A new antenna selection algorithm for multiple input multiple output (MIMO) wireless systems is proposed. The modified Tanimoto coefficient is used to compare the similarity of the rows/columns of the channel matrix. Based on the calculated similarity, the proposed algorithm chooses the antenna subset, which has the maximum product of dissimilarity and Frobenius norm. The proposed algorithm requires low computational complexity as to the optimal selection but with comparative outage capacity and average signal to noise ratio (SNR) performance. It can improve both the outage capacity and the average SNR as compared to random selection. The simulation results are shown to validate our algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems Engineering and Electronics - Volume 19, Issue 3, June 2008, Pages 624-627
نویسندگان
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