Research On Array Spectral Peak Search And Its Application In UWB Indoor Localization

Direction of arrival(DOA)estimation is an important technology,which is widely used in radar,communication and navigation fields.Multiple Signal Classification(MUSIC)algorithm is one of the most representative algorithms in the field of DOA estimation.It has the characteristics of high precision and super resolution.However,it needs to search the spectral peak of spatial spectral function to finally estimate DOA,which reduces the real-time performance of MUSIC algorithm due to the huge computation.With the development of communication and mobile Internet technology,people’s demand for indoor location services is increasing.Due to a large number of obstacles and multipath effect in indoor environment,positioning accuracy will be larger error.If DOA estimation technology of array antenna is introduced into indoor positioning,the multipath problem mentioned above can be partially solved.In order to solve the problems in spectrum peak search and indoor location,a niche particle swarm optimization algorithm for multi-peak function optimization is proposed in this paper,and the MUSIC algorithm is improved to effectively solve the above problems.The main work and innovation points of this paper are summarized as follows:First,this paper studies the problem that the spectral peak search requires a large amount of computation,and the problem that the classical particle swarm optimization algorithm cannot identify all the solutions in the spectral peak search.On the basis of particle swarm optimization(PSO),a niche particle swarm optimization(NPSO)algorithm is proposed by introducing the sequential clustering algorithm based on the niche idea.The algorithm uses the position information of the particles in space to divide them into several niches to realize parallel search,and the search strategy takes into account the search breadth and depth.The simulation results in the benchmark test function show that the proposed algorithm is high precision and fast.After this article will put forward the niche particle swarm optimization(PSO)algorithm and the similar algorithm are simulated in the sample space spectrum comparison experiment,the results show that regardless of the computing resources of the proposed algorithm is compared with the similar algorithm has higher accuracy and faster speed,and the algorithm in low SNR environment always close to the grid search accuracy level,confirmed its strong anti-interference ability,stable performance.Second,spatial spectrum estimation relies on array antenna,while the current mass-produced UWB modules are all integrated with single antenna,which cannot meet the requirements of multiple antennas.Therefore,a simulation platform was established in this paper to simulate the generation of MB-OFDM UWB signals and the received signals after passing through the channel,and the signals were used as the input of the positioning system.In addition,MUSIC algorithm is improved by using the phase difference between the signal subcarriers,which enables it to estimate the DOA and TOF of the received signal simultaneously.At the same time,the niche particle swarm optimization algorithm is applied in the spectral peak search link to effectively identify the direct wave direction in the multipath.Finally,the AOA location algorithm is used to verify the effectiveness of the proposed scheme.