Technology Researches On Airborne Fire Control Radar Emitter Identification Based On Parameter-jointing Method

Airborne fire-control radar has been developed rapidly in the past few decades and has becomean important equipment of modern air force. Its functions of detection, tracking and recognition areimportant tasks for the modern air defense system. Based on the parameter-jointing method, emitteridentification is deeply studied in this dissertation. Some difficulties of radar identification are solvedefficiently, including the variety of work mode, the diversity groups of parameters in each mode, theoverlap of parameters under the different types of radar, the catching increasing signals after signalsorting, the fragmentary feature of a single signal. The main work and research fruits are listed asfollows.1) According to the fact that airborne fire-control radar has a diversity of work mode and manydifferent models of parameters under the same work mode, a method of parameter-jointing modelingis proposed. This method is capable of realizing the joint modeling for three kinds of parameters-thescalar, the interval and the sequence. Based on this, the identification confidence calculation has beenanalyzed for each models’ parameters.2) Considering of the different influence on radar emitter identification caused by each parameterunder different work modes, the concept of synthesized weight is proposed based on the establishedmulti-parameters jointing model by applying multi-attribute decision analysis theory to theidentification of radar. Based on the algorithm of synthesized weight TOPSIS (technique for orderpreference by similarity to ideal solution), the emitter identification method for airborne fire-controlradar is proposed. By analyzing an instance of this method, it shows that the method can effectivelyidentify airborne fire-control radar under different modes.3) To solve the problem of catching increasing signals after signal sorting in the process of signalscanning and interception, a method of parameter-jointing identification is proposed by applyingBayesian inference method to airborne fire-control radar emitter. By jointing multiple signals, themethod can achieve complete feature identification based on incomplete parameter feature. Thesimulation result shows that the method can further improve the identification rate of radar emitter.