| Airborne fire control radar has become an important mean in the aspect of detecting enemy aircraft target after it appears, especially in the past ten years, with the emergence of pulse Doppler phased array technology, stealth technology, and the application of anti stealth, radar anti jamming technology has been rapid developed and improved. Airborne fire control radar have more and more working modes, more and more strong function, more and more complex links with other systems. The flight test of airborne fire control radar needs more and more technology; and adjustment of national Test become more and more difficult.In the process of new types airborne fire control radar flight test, the functions and performance of domestic airborne fire control radar has been greatly development, we also realized that some urgent problems still exist in airborne radar flight test in china。With the detect distance and the detection rang have been more and more increased, more and more vehicles appear in the surrounding region at the same time, differentiate whether the target is real or false alarm with experience,using previous record of ground ATC surveillance on the surrounding, we need to spend more and more time and energy,but have more risk of mistake; this processing method become a larger constraints on test schedule.According to the requirements of military aircraft and civil aviation, now all manned aircraft must install ATC transponder, and network ADS-B system was promoted, all the air traffic control system have flight track datas. In this situation, we can process automatically with the analysis and date fusion processing,then determine if the target in flight test of airborne fire control radar detection model is real or false, based on the actual vehicle track data in the network of ATC ground stations (including two SSR, ground radar ADS-B ground station).In this dissertation, based on all the traffic information in traget area in the network ATC station with ADS-B and SSR,we use the new data fusion theory to do reset into the false alarm technology in airborne fire control radar detection model test, and solve the problem of aviation flight test in Engineering field.We first introduces the basic theory of the airborne radar detection model flight test,then explore the basic theory of data fusion and the related theoretical basis, inclouding the basic elements of data fusion structure and fusion type, multi sensor data fusion performance analysis, then focuses on the principle of Calman filtering algorithm in use. After,we focus on the design of flight test program in airborne fire control radar detection model, inclouding the requirements and related ensure conditions; then focus on the processing and analysis of data, including data space, data preprocessing, cooperative target correction,and at last in this section we take special attention on analyzing the false alarm related fusion algorithm involved in the paperAfter the analysis and discussion of the data processing, I design and develop the software to implement the algorithm with software engineering theory; then test the software in work practice。Using the result of date,we discuss and analysis data validation。we optimize the processing method and software after finding some problems of software and algorithms。At last, we pointed out the problems and limitations existed in the processing method, and view what we can do in future reset and how do。... |
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