Study And Implementation Of Signal Sorting Algorithms For Complex Environments

Radar emitter signals sorting plays an important roll in the modern electronic warfare system, it's also the premise and the foundation of radar feature extraction, recognition as well as threat assessment. Along with Modern Radar technology unceasing development, Frequency agility radar, frequency diversity radar, PRI stagger radar, PRI jittering radar,internal-pulse chirp radar and so on new system radar substitution convention radar unceasingly, the pulse overlap Seriously. The electromagnetic signals environment becomes complex, dense, changeable, its density may reach as high as several million pulse/seconds, the efficiency of traditional signal sorting method based on the time domain drops, has been unable to satisfy the real-time character, which presented a serious challenge to radar signal sorting.Therefore, algorithms for signal sorting of unknown radar emitter in complex environments are studied exploratory in this paper, and has carried on the simulation experiment, mainly includes the following several aspects:(1) The signal environment of the reconnaissance receiver is to be analyzed, and A simulation algorithm is designed which is used for synthesized many complex system radar to dense radar signal environment. This simulation algorithm has provided the lifelike signal environment for the following research. Massive random number accord with normal distribution is needed in this algorithm, on the opposite, the traditional random number generation function generate uniform random number,For this reason ,A random number generation function based on Geometric Visual area is to be presented. Take the normal distribution random number's production as an example, introduced the algorithm producing a random number with arbitrary distribution according to the average distributed random number.(2) Aiming at high cost characteristic of hardware pre-sorting and processes blindly of unknown radar signal.A pre-sorting algorithm based on adaptive boundary matrix is to be presented. This algorithm enhanced the sorting algorithm flexibility, on the premise of making sure sorting algorithm timeliness and reliable.(3) An algorithm based on the application of set pair analysis and clustering to signal sorting is presented. Aiming at Ambiguity of signal clustering, signal sorting was made as a determination/uncertain system. First to analyze the correlation of pulses with set pair analysis, and then sort the pulse with clustering algorithm.(4) In all aspects of the above basis, the radar signal environment, pre-sorting, the main sorting process applied to the entire radar system, and VC6.0 to achieve, step by step analysis of experimental results. Simulation results show that the method used in this article, dense signal environment in real time, accurate sub-elect of the radar signal.