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Performance comparisons of modified SMI and GLR algorithms

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2 Author(s)
L. Cai ; Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA ; H. Wang

Adaptive filtering for signal detection in colored interference of unknown statistics is addressed. The detection performance of a modified version of the well-known sample matrix inversion (SMI) algorithm, called the modified SMI (MSMI), is compared with that of the generalized likelihood ratio (GLR) algorithm in colored Gaussian interference. The performance sensitivity of the MSMI and GLR in colored Weibull and log-normal interference is studied via simulation. It is found that there is almost no need to use the more complicated GLR algorithm in Gaussian interference, while in Weibull or log-normal interference the GLR should be preferable to the MSMI

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IEEE Transactions on Aerospace and Electronic Systems  (Volume:27 ,  Issue: 3 )