Symbol detection method for mimo systems based on path finding
AssigneeNational Yunlin University of Science and Technology
InventorsJenn-Kaie LAIN, Jyun-Yu Chen, Po-Hui Yang
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Abstract
A symbol detection method for an MIMO system based on path finding, which is a novel nonlinear signal detection algorithm called the MACO (Modified Ant Colony Optimization) algorithm in the present invention. The MACO algorithm is improved from the conventional ant colony optimization algorithm and applied to an MIMO (Multiple-Input Multiple-Output) system. The MIMO system increases the utility efficiency of spectrum but computational complexity of signal detection in the receiving terminals is suffered. The present invention simulates the foraging behavior of ants and pheromone to achieve superior performance and low computational complexity in signal detection of an MIMO system.
Claims4
A symbol detection method for an MIMO (Multiple-Input Multiple-Output) system based on path finding, wherein the MIMO system is arranged behind a plurality of sending terminals to receive and analyze baseband signals from the sending terminals, the symbol detection method comprises steps of:
- S1:
- signal filtering, wherein the baseband signals are detected and then filtered by filter units matching the sending terminals to select a required band;
- S2:
- preprocessing, wherein the required band is preprocessed through a preprocessing unit and then undertaken a signal detection of an MACO (Modified Ant Colony Optimization) algorithm;
- S3:
- parameter setting, wherein parameters of the MACO algorithm are set in a parameter setting unit;
- S4:
- calculation, wherein the parameters in the parameter setting unit are input to a solution construction unit to calculate solutions of signals;
- S5:
- parameter updating, wherein the parameters calculated by path probability are sent back to the parameter setting unit to update the parameters;
- and
- S6:
- completing signal solution calculation.
Dependencies are inferred from the claim text.