IMPROVEMENT ON ALGORITHM OF CONFIDENCE DECLARATION OF MODE S SECOND SURVEILLANCE RADAR

Mode S Second Surveillance Radar (SSR) is very important means for Air Traffic Control (ATC) now and future,all the responding data which the radar receives need parity processing. Bit and confidence declaration is an vital step before error detection and error correction. Based on the commonly used baseline multi-sample algorithm,different conditions are presented and analyzed,the conditions under which error happens are pointed out,and the algorithm in which two statistical variables are added to avoid false declaration. In addition,the moving average method is used to preprocess the sampled data,so as to reduce the influence of noise. The merits the baseline multi-sample technique owes are preserved,and the added computation is small. The declaration veracity is improved,and consequently makes error detection and error correction be facilitated suc-cessfully.

AN ANALYSIS OF THE COST-EFFECTIVENESS OF AIR DEFENSE SURVEILLANCE RADARS

This paper is a study of the quantitative evaluation on the cost-effectiveness of air defense surveillance radars. The composition of life cycle cost of the radar is analysed at first. Then the radar performance and effectiveness formulas are derived. By calculating the values of many radars' cost, performance and effectiveness, tendency curves are plotted. The application of cost-effectiveness calculation and the tendency curves in radar system analysis is discussed at last.

Robust PCA for Ground Moving Target Indication in Wide-Area Surveillance Radar System

Robust PCA has found important applications in many areas,such as video surveillance,face recognition,latent semantic indexing and so on.In this paper,we study its application in ground moving target indication(GMTI)in wide-area surveillance radar system.MTI is the key task in wide-area surveillance radar system.Due to its great importance in future reconnaissance systems,it attracts great interest from scientists.In(Yan et al.in IEEE Geosci.Remote Sens.Lett.,10:617–621,2013),the authors first introduced robust PCA to model the GMTI problem,and demonstrate promising simulation results to verify the advantages over other models.However,the robust PCA model can not fully describe the problem.As pointed out in(Yan et al.in IEEE Geosci.Remote Sens.Lett.,10:617–621,2013),due to the special structure of the sparse matrix(which includes the moving target information),there will be difficulties for the exact extraction of moving targets.This motivates our work in this paper where we will detail the GMTI problem,explore the mathematical properties and discuss how to set up better models to solve the problem.We propose two models,the structured RPCA model and the row-modulus RPCA model,both of which will better fit the problem and take more use of the special structure of the sparse matrix.Simulation results confirm the improvement of the proposed models over the one in(Yan et al.in IEEE Geosci.Remote Sens.Lett.,10:617–621,2013).

Bistatic weak target detection method using non-cooperative air surveillance radar

At present, most of the passive radar system researches utilize FM radios, TV broadcasts, navigation satellites,etc. as illuminators. The transmitted signals are not specifically designed radar waveforms. In this work, the frequency agile, phased array air surveillance radar(ASR) is used as the illuminator of opportunity to detect the weak target. The phased array technology can help realize beam agility to track targets from different aspects simultaneously. The frequency agility technology is widely employed in radar system design to increase the ability of anti-jamming and increase the detection probability. While the frequency bandwidth of radar signals is usually wide and the range resolution is high, the range cell migration effect is obvious during the long time integration of non-cooperative bistatic radar. In this context, coherent integration methods are not applicable. In this work, a parametric non-coherent integration algorithm based on task de-interweaving is proposed. Numerical experiments verify that this is effective in weak target detection.

Navigation Accuracy Category-Position Models and Estimate Position Uncertainty Calculations for TIS-B System

Navigation accuracy category-position （NACp） is an important parameter for system accuracy of traffic information service-broadcast （TIS-B）, which is determined by estimate position uncertainty （EPU）. Centered about the problems that the exist ing EPU calculation based on noise measurement is low in accuracy and unfit for describing uncorrected biases in target reports, this article analyses the traditional NACp model, and uses the least square estimation （LSE） in EPU calculation. Furthermore, it proposes an extended NACp model, which considers both noise and biases and acquires EPU estimation with the help of approximate multiplex Taylor expression. Analysis and simulation show that the proposed method not only leads to significant improvement of the accuracy of EPU calculation, but is fit for EPU calculation with tracking biases in TIS-B system as well. As such it can find application in practice to depict different kinds of error models in TIS-B system.