Research Article
Parameter Estimation for the Field Strength of Radio Environment Maps
Algorithm 1
Radio environment map field strength estimation.
| Step 1 | | Calculate distance matrix and variogram value matrix G, where and . | | , lag_max = round , , round . | | Calculate experimental variogram value , | | for | | h = ; | | SEL = (LAGS == ); | | N = sum(sum(SEL == 1)); | | R = sqrt(sum((SEL))/()); | | end for | | Step 2 | | The PSO algorithm is used to fit the theoretical variogram models and using the theoretical variogram models in | | Equations (9) and (12), | | Initialization: the position and velocity of a particle in -dimensional problem space is randomly generated. | | Evaluation of particles: the fitness value of each particle is calculated using Equation (14). | | Updating : the particle fitness values are compared with the population optimal value , and if the current value is | | better than , the position of is set to the current particle position. | | Updating the particle: the velocities and positions of all particles are updated using Equations (15). | | Stop condition: return to step for iterations to obtain optimal parameters , , , and . Then, use Equations (9) | | and (11) to obtain theoretical variogram models and . | | Step 3 | | and are calculated using the theoretical variogram model. | | Equation (4) is written in matrix form to get . | | The estimated value is calculated by Equation (2): . |
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