Study On Data Fusion Techniques Of Missile Defense Radar Network

Missile defense is an important guarantee for national security, and radar networkis a common problem in the field of air defense and missile defense. Missile defensesystemusesalargenumberofradarsandinfraredsensorstoimproveitsdetection,trackingand identification capability, which is the precondition of successful interception. In thebackground of needs for research and development of missile defense techniques, basedon the data fusion technology of radar network, we study on the localization, association,fusion, and track initiation technology of radar network. Also, the localization accuracyand detection capability of radar network are analyzed, and a missile attack and defensesimulation system is built. The major work are as follows:Chapter II studies on localization technology of centralized radar network. Firstly,the dynamic relationship between measurement error and target location is analyzed, anda dynamic weighted fusion algorithm used for plot integration of active radar network isproposed. Secondly, the problem of passive radar network localization is studied, and aweightedleastsquaremethodwithlowcomputationcomplexityandhighprecisionispro-posed, which does not need iteration and can approach to the Cramer-Rao Bound (CRB).For single passive station successively measuring case, the recursive least squares imple-mentation is derived. Thirdly, a general formula for calculating the localization accuracyCRB of heterogeneous radar network is derived, which provides a benchmark for evalu-ating the performance of radar network with different disposition.Chapter III studies on radar network data fusion based on probabilistic grid. At first,the sensor measurement error distribution is analyzed, and a probabilistic grid model isestablished. Then, based on the probabilistic grid model, a general framework for local-ization, association, and fusion is constructed, which called JPDM algorithm. Convertingthe NP-hard association problem to peak extraction problem in image domain, the JPDMalgorithm has a controllable computation complexity and is suit for parallel processing.At last, a Hough transform track initiation algorithm based on probabilistic grid is pro-posed, which resolve the inherent contradition between the size of accumulate cell andthe quality of track.Chapter IV studies on track correlation technology of distributed radar network. Thefeasibility of using the holistic characteristics of tracks for correlation is discussed. For non-maneuveringtargets, apolynomialfittingbasedasynchronoustrackassociationalgo-rithm is proposed. For maneuvering targets, a B-spline fitting based asynchronous trackassociationalgorithmisproposed. Comparedwithtraditionalalgorithms,thecomputationcomplexity is reduced remarkably by using clustering in parameter space.Chapter V studies on detection and localization performance of the radar network.At first, a useful model for calculating the detection probability of radar or radar networkis established, and the detection performance of radar network under different dispositionis evaluated. Then, typical ballistic target RCS data measured in microwave anechoicchamber is used for evaluating detection capability of the radar network. Finally, a bal-listic missile defense simulation system is built based on Visual C++ and STK, with sometypical scenario, the performance of Patriot radar network, Aegis radar network and earlywarning radar network is analyzed respectively.The research of this paper comes from the needs of practical project, most of theresearch results have been applied in practice and achieved good effects. Studying onthe data fusion technology of missile defense radar network has important military valueand practical significance, it can not only provide technical reserves for building our ownmissile defense system, but also give advice for strategies optimization of missile pene-tration.