Research on Planning Method of Rural High-Density Building Group Based on Tree Structure Simulation Algorithm

In order to improve the planning effect of rural high-density building groups, this paper combines the tree structure simulation algorithm to analyze the planning and analysis of rural high-density building groups, proposes a new potential function clustering formula, and proposes a hybrid matrix estimation algorithm based on single-source point detection. Moreover, this paper uses STFT to realize the sparse representation of the observation signal, and removes the time-frequency points that are greatly affected by noise. In addition, this paper further filters the time-frequency points according to the single-source point detection criterion, and uses the obvious clustering features of the time-frequency ratio of the frequency-hopping signal at the single-source point to obtain the estimation of the mixing matrix of each hop signal, and finally obtain the DOA estimated value. The simulation results show that the algorithm has better estimation performance than the comparison algorithms. Finally, through the simulation experiments, it is verified that the planning method of rural high-density building groups based on the tree structure simulation algorithm can effectively improve the planning effect. © 2023 CAD Solutions.