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...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.展开更多
随着新型电力系统建设进程推进,配电业务对配电通信接入网提出了新需求。单一通信方式难以满足配电业务新需求,因而提出一种面向配电业务的基于D-S证据理论的网络选择算法(network selection algorithm based on D-S evidence theory,NS...随着新型电力系统建设进程推进,配电业务对配电通信接入网提出了新需求。单一通信方式难以满足配电业务新需求,因而提出一种面向配电业务的基于D-S证据理论的网络选择算法(network selection algorithm based on D-S evidence theory,NSA-D-S),该算法通过量化配电业务对各指标需求计算业务重要度,基于业务重要度排序进行网络选择。网络选择时,通过D-S证据理论融合时延、带宽、可靠性指标并进行判决,业务选择融合判决数值最大的网络接入。仿真证明该算法能提高高重要度配电业务归一化服务质量(quality of service,QoS),提高高质量网络资源利用效率。展开更多
文摘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.
文摘随着新型电力系统建设进程推进,配电业务对配电通信接入网提出了新需求。单一通信方式难以满足配电业务新需求,因而提出一种面向配电业务的基于D-S证据理论的网络选择算法(network selection algorithm based on D-S evidence theory,NSA-D-S),该算法通过量化配电业务对各指标需求计算业务重要度,基于业务重要度排序进行网络选择。网络选择时,通过D-S证据理论融合时延、带宽、可靠性指标并进行判决,业务选择融合判决数值最大的网络接入。仿真证明该算法能提高高重要度配电业务归一化服务质量(quality of service,QoS),提高高质量网络资源利用效率。
