Log-likelihood ratio based detection ordering for the V-BLAST
نویسنده
چکیده
We propose a new detection ordering for the V-BLAST. The main idea is to detect and cancel sub-streams in order of the magnitude of log-likelihood ratio (LLR), i.e. the symbol with the largest magnitude of LLR is detected first. The motivation is that the reliability of data decision increases with increasing magnitude of LLR. As a result, the error propagation associated with a wrong decision and the resulting error probability for the remaining sub-streams can be minimized. It is shown that the proposed LLR-based ordering significantly outperforms the conventional SNR-based ordering. Simplified LLR-based ordering and envelope-based ordering that require a much less computation, but provide a performance virtually identical to the LLR-based ordering, are also proposed.
منابع مشابه
On Multivariate Likelihood Ratio Ordering among Generalized Order Statistics and their Spacings
The most of the results obtained about stochastic properties of generalized order statistics and their spacings in the literature are based on equal model parameters. In this paper, with less restrictive conditions on the model parameters, we prove some new multivariate likelihood ratio ordering results between two sub-vectors of GOS's as well as two sub-vectors of $p$-spacings based on two con...
متن کاملAn Improved Layered MIMO Detection Algorithm With Near-Optimal Performance
This letter presents a new layered symbol detection algorithm for multiple-input multiple-output (MIMO) systems. In this scheme, the layers are divided into two groups and detected differently. For the layer with the smallest post-detection signal-tonoise ratio, an exhaustive search is performed over the signal constellation; for the remaining layers the conventional iterative vertical Bell lab...
متن کاملApplication of spectrum-volume fractal modeling for detection of mineralized zones
The main goal of this research work was to detect the different Cu mineralized zones in the Sungun porphyry deposit in NW Iran using the Spectrum-Volume (S-V) fractal modeling based on the sub-surface data for this deposit. This operation was carried out on an estimated Cu block model based on a Fast Fourier Transformation (FFT) using the C++ and MATLAB programing. The S-V log-log plot was gene...
متن کاملSimulation-Based Radar Detection Methods
In this paper, radar detection based on Monte Carlo sampling is studied. Two detectors based on Importance Sampling are presented. In these detectors, called Particle Detector, the approximated likelihood ratio is calculated by Monte Carlo sampling. In the first detector, the unknown parameters are first estimated and are substituted in the likelihood ratio (like the GLRT method). In the sec...
متن کاملModified signed log-likelihood test for the coefficient of variation of an inverse Gaussian population
In this paper, we consider the problem of two sided hypothesis testing for the parameter of coefficient of variation of an inverse Gaussian population. An approach used here is the modified signed log-likelihood ratio (MSLR) method which is the modification of traditional signed log-likelihood ratio test. Previous works show that this proposed method has third-order accuracy whereas the traditi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003