A Study Of Multi-station TDOA/FDOA Joint Location Algorithm And Realization Of Multi-core DSP

In modern electronic warfare,a passive positioning has become the focus of research in many countries because of its good concealment and anti-jamming ability,Accurate positioning of radiation sources is the primary condition for accurate attack and jamming of enemy targets,and also the prerequisite for obtaining battlefield information.It is of great significance for grasping battlefield information.According to the different parameters of observation,the current passive positioning constitution of multiple stations can be divided into TDOA positioning,FDOA positioning,AOA positioning and their joint positioning.With the development of science and technology,the modern positioning system puts forward higher requirements for the positioning performance of the target.The traditional single-core DSP has been unable to meet our requirements due to the limitation of processing speed and transmission bandwidth.In recent years,with the rapid development of chip integration technology and the advent of some high-performance multi-core DSPS,the processing speed and transmission bandwidth have been greatly improved.How to locate the radiation source in real time has become the last step of the whole positioning process.In this paper,combined with the hardware multi-core DSP,the target positioning of the moving radiation source is studied in the context of the motion multi-observatory as follows,which are respectively the research of the TDOA/FDOA joint positioning algorithm and the parallel operation of the algorithm in the multi-core DSP.Firstly,the passive positioning of TDOA and FDOA measurement information was analyzed by using a single measurement parameter,and some commonly used algorithms in TDOA positioning and FDOA positioning were compared,and the accuracy was analyzed.Secondly,under the condition of multi-station TDOA/FDOA joint positioning,an optimized PSO algorithm is proposed to solve the positioning problem.First,the joint positioning equation of TDOA and FDOA is composed of TDOA and FDOA information,and the objective function is obtained as the fitness function of the optimized PSO algorithm.Aiming at the problem that local optimization is easy to occur in the traditional PSO algorithm,the algorithm is improved,and the weight value calculation is optimized to make it converge more quickly;the population after each update is eliminated,hybridized,etc.,so thatthe population is in the population.The particles are always kept the best,and the population is kept at a certain level to avoid local optimum.When the optimal PSO algorithm is used to locate the target,the position and velocity of the target can be directly solved.The simulation results of MATLAB show that under certain noise,the root mean square error of the target position estimated by the optimized PSO algorithm is close to CRLB,and the positioning accuracy of the multi-station TDOA/FDOA joint positioning system is better than that of the single measurement information positioning system.Finally,the scheme of multi-station TDOA/FDOA joint positioning on multi-core DSP signal processing board is designed,the overall process architecture of the system is given,the allocation of algorithm tasks on multi-core DSP is analyzed,and the processing of inter-core communication core Shared memory and other issues are analyzed,and the functions and instructions of each module are introduced.Determine the implementation process of the algorithm on multi-core DSP to improve positioning accuracy,reduce positioning time and improve the overall performance of the system.The system's functions and performance indicators are tested by hardware.The analysis can verify the rationality of the system design and meet the design requirements.