Research On Resource Allocation Technologies Of Multi-user Integrated Communication And Positioning Based On FHMA

With the rapid development of wireless communication technology and wide coverage of communication equipment,people’s demand for high-speed communication and real-time accurate positioning is increasing.It has become an urgent need to integrate the positioning function with the communication function to realize data transmission and precise positioning services anytime and anywhere,and the integration of communication and positioning has become one of the research hotspots in academia.The integrated communication and positioning system based on the wireless self-organizing network can quickly form a network in an environment with limited infrastructure and provide communication and positioning services.Frequency hopping technology can effectively improve system performance with its excellent anti-interference ability,anti-interception performance and flexible networking ability.Therefore,this thesis constructs a frequency hopping multiple access(FHMA)communication and positioning integrated system based on wireless self-organizing networks,and studies the node selection algorithm and resource allocation technology.The main research contents and contributions are as follows:First,the frequency hopping sequence that affects the system performance of the integrated of FHMA communication and positioning,and the performance of the positioning and communication are studied.The performance of the frequency hopping sequence will directly determine the performance of the FHMA system,so an effective method to improve the performance of the FHMA system is to optimize the design of the frequency hopping sequence,that is,to use a sequence with good orthogonality to suppress mutual interference between users.In the service phase of the frequency hopping scheduling frame,the time division multiple access(TDMA)technology is used to realize positioning and communication services.In the positioning stage,the ranging and positioning of the target node is carried out based on the multi-anchor nodes,and derives evaluation index of the positioning error under the FHMA system,squared positioning error bound(SPEB),using the Fisher Information Matrix(FIM)and the Cramero Lower Bound(CRLB),and then the SPEB under the TDMA-FHMA system can be obtained;in the communication stage,the user communication rate under the FHMA system is derived from the signal-to-noise ratio of a single communication link.And it is extended to the TDMA-FHMA system,the multiuser rate under the TDMA-FHMA system is used as the performance index in the communication stage.Secondly,a node selection algorithm based on the contribution of Weighted Geometric Dilution of Precision(WGDOP)is proposed.The analysis of the positioning error of the target node in the positioning network shows that the positioning error of the target node is affected by the resource allocation and the topology of the positioning network at the same time.Starting from the geometric distribution of anchor nodes,the relationship between node positioning error,geometric precision factor and network topology is analyzed.In the multianchor node network,the combination of anchor nodes is selected to locate the target node,the minimum precision factor is taken as the preferred target,and the signal-to-noise ratio on the positioning link is used as the weighted value.According to the ranging direction matrix and the link signal-to-noise ratio,the design The node selection algorithm based on the contribution value of WGDOP is proposed,the combination of anchor nodes is optimized,and the effectiveness of the algorithm is verified by simulation.Finally,the power and time resource allocation under the TDMA-FHMA communication and positioning integrated system is studied.Joint positioning and communication performance,in the service stage of the frequency hopping scheduling frame,power and time resources allocation problem is established.After analyzing the characteristics of the optimization problem,the Generalized Benders Decomposition(GBD)algorithm is introduced to decompose the original optimization problem.The two optimization problems,the sub-problem and the main problem,are solved alternately and iteratively combined with the optimal power allocation strategy,and the optimal resource allocation of the system is obtained.The optimization problem of maximizing the positioning performance is established under the fixed time allocation,and the optimal power allocation can be obtained by solving the power allocation of the communication network and the positioning network successively through the optimization algorithm.Simulation verifies the convergence of the algorithm and the excellent performance of the optimal power and optimal time allocation strategy.