Collaborative Control On Optimum Operating Frequency Of Bistatic HF Surface Wave Radar

High Frequency Surface Wave Radar (HFSWR) trasmits the verticalpolarization electromagnetic wave with low attenuation over the ocean surfaceto detect and track maritime and air targets over the horizon. T/R-R bistaticHFSWR is a compound radar system which is composed of T/R station andpassive receiver radar R station (mobile station). This radar system possespreferable advatages compared to the monostation, For example, it has themerits of hiding power, anti-interference and so on. As a result, there is greatlydevelopment with the bistatic radar system in many of the countries. As the Rstation lies far from the T/R station, always hundreds of kilometers, there arelarge differences between the geographical environments of T/R station and Rstation. The traditional frequency selection methods which are broadly used inmonostation is hardly to make the bistatic radar in the best working condition atthe same time. This drawback seriously affects target detection and trackingperformance. In oder to optimize embattle and fusion frequency selection ofbistatic HFSWR. The rest of paper is following.(1) Optimize the station layout in bistatic HFSWR. In order to optimizethe layout of bistatic HFSWR, SNR and the positioning accuracy of mobilestation are analyzed. The best location of the mobile station is selected whichnot only improves the SNR, but also expands detection range of the compositeradar systems.(2) Select the optimal operating frequencey in bistatic HFSWR. theoptimal operating frequency is selected based on Kalman filter weighted fusionalgorithm, in which the external electromagnetic spectrum information isincorperated. In this frequency fusion model, the external electromagneticspectrum information is defined as the measurement information, and theestimated information is summed.with optimal weighted method. At last, thesilence working channel is chosen by average power minimum criterion and thebest operating frequency is determined based on maximum signal-to-noise ratio(MSNR) criterion of the target. (3) Predict the operational sprectrum. In order to improve the capability ofadapting to the external electromagnetic environment of HFSWR and thereliability of the optimal quiet operating frequency, single exponentialsmoothness method and linear prediction method are utilized to predict thespectrum of the next time, so that the predicted spectrum can be closed to thenext batch of spectrum based on the spectrum information of the current andpast batches.