RFID Indoor Positioning Technology with Error Distribution Analysis
Research on RFID-based indoor positioning systems including error distribution simulation studies and generation of distribution plots for system optimization.
Explore MATLAB source code curated for "分布图" with clean implementations, documentation, and examples.
Research on RFID-based indoor positioning systems including error distribution simulation studies and generation of distribution plots for system optimization.
1. Original signal A is transmitted through a noise-contaminated channel to obtain signal q, which is then processed through ZF (Zero Forcing) and MMSE (Minimum Mean Square Error) equalizers to generate signal U with distribution plotting capabilities. 2. Implementation of LMS (Least Mean Squares), SATO (Sato's algorithm), and CMA (Constant Modulus Algorithm) to derive signal U, incorporating optimal delay calculation and mean square error computation. All results are visualized through graphical representations with MATLAB implementation examples.
A 100x100 square area requires coverage using circles with radius 10. The centers are randomly placed within the 100x100 plane. How many circles are needed to ensure at least 95% probability of complete coverage? Includes a distribution diagram showing uniform random placement of circle centers.