CAJ | 학술논문

从构建准确的频谱态势图,实现频率资源充分利用的角度出发,针对目前在构建频谱态势图时没有考虑恶意用户( Malicious User,MU)存在的情况,结合克里金( Kriging)插值法估计空域内频谱干扰态势,通过地理位置检测方案识别MU,从而构建更准确、更安全的频谱态势图,并将其用于端到端的路由协议中。仿真结果表明,该方案能构建完整的频谱态势图,平均误差仅为0.106 dBm,能准确识别恶意用户,识别率高于80%；并且通过识别MU,在基于频谱态势图的路由过程中,可以减少路由跳数,增加可用频谱空间。
종구건준학적빈보태세도,실현빈솔자원충분이용적각도출발,침대목전재구건빈보태세도시몰유고필악의용호( Malicious User,MU)존재적정황,결합극리금( Kriging)삽치법고계공역내빈보간우태세,통과지리위치검측방안식별MU,종이구건경준학、경안전적빈보태세도,병장기용우단도단적로유협의중。방진결과표명,해방안능구건완정적빈보태세도,평균오차부위0.106 dBm,능준학식별악의용호,식별솔고우80%；병차통과식별MU,재기우빈보태세도적로유과정중,가이감소로유도수,증가가용빈보공간。
This paper concerns the construction of accurate spectral situation map, which can help to a-chieve frequency resource reuse. The traditional methods of constructing spectrum space situation map do not take the influence of malicious users( MUs) into consideration,but the scheme proposed in this paper makes use of Kriging interpolation to estimate the interference situation over a finite geographical area,and identifies malicious user by location detection method, then constructs a more accurate and more secure spectrum situation map. Finally,the spectrum situation map is applied in the end-to-end route protocols. Simulation results demonstrate that the proposed scheme can construct a complete spectrum situation map and the average error is only 0 . 106 dBm;it can accurately identify malicious users and the detection rate is higher than 80%;it can reduce the routing hops and increase the available spectrum space in the process of routing based on spectrum situation map after identifying MUs.