beamformingConvexOptimizationProblem

KO | EN

gitlite — search

#javascript #react #ai #llm #golang #android #machine-learning #deep-learning #docker #windows #vue #mcp #ios #open-source

beamformingConvexOptimizationProblem

(★ 9)

A simple algorithm for creating and solving a beamforming optimization problem is considered.

beamformingConvexOptimizationProblem 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# beamformingConvexOptimizationProblem
A simple algorithm for creating and solving a beamforming optimization problem is considered.
The output of the beamformer network is tried to be recovered from the noise and interference in the channel.
A random noise is created, and it can be used for several comparison simulation from the given script. 
MATLAB CVX tool is used for solving the convex optimization problem. Therefore, having a CVX module is a must.

Function computeOptimizationProblem.m has
Inputs
N (number of antenna), 
J (number of snapshots), 
n (created noise), 
eqn (formulation for the solution 4: known steering vector | 6: unknown steering vector, worst-case scenario approach)

Outputs
optimalValue: resulting optimal value found by CVX
snrValue: calculated signal-to-noise ratio for the optimized structure
iterNumber: number of CVX iterations
weightingCoef: resulting optimal beamforming coefficient values

beamforming_comparison.m File:
Creates the inputs and calls the function computeOptimizationProblem
Plots the results for different cases

beamformingConvexOptimizationProblem

beamformingConvexOptimizationProblem 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

beamformingConvexOptimizationProblem

beamformingConvexOptimizationProblem 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README