The conventional direct position determination（DPD） algorithm processes all received signals on a single sensor.When sensors have limited computational capabilities or energy storage,it is desirable to distribute th...The conventional direct position determination（DPD） algorithm processes all received signals on a single sensor.When sensors have limited computational capabilities or energy storage,it is desirable to distribute the computation among other sensors.A distributed adaptive DPD（DADPD）algorithm based on diffusion framework is proposed for emitter localization.Unlike the corresponding centralized adaptive DPD（CADPD） algorithm,all but one sensor in the proposed algorithm participate in processing the received signals and estimating the common emitter position,respectively.The computational load and energy consumption on a single sensor in the CADPD algorithm is distributed among other computing sensors in a balanced manner.Exactly the same iterative localization algorithm is carried out in each computing sensor,respectively,and the algorithm in each computing sensor exhibits quite similar convergence behavior.The difference of the localization and tracking performance between the proposed distributed algorithm and the corresponding CADPD algorithm is negligible through simulation evaluations.展开更多
In times of highest necessities for United Nations Sustainable Development Goals(SDGs)and acknowledging planetary boundaries,the need for understanding general global goals and regional to local strategic governing st...In times of highest necessities for United Nations Sustainable Development Goals(SDGs)and acknowledging planetary boundaries,the need for understanding general global goals and regional to local strategic governing structures has to be supported while combining assessment,monitoring,governance approaches,together with landscape planning,land use based approaches,land system and sustainability science.The initial research embeds an incrementally worked out theoretical framework followed by applied research parts.The case studies and field data in the German Lusatia Region and inner part Spree Forest Region inhabit intrinsic drivers of finding ways over bridging deficiencies of theoretical and applied adjusted objectives and in this small excerpt mainly about the scale and planning level,instrumental flexibility deficiencies while transmitting global transformation needs to the regional,local planning level and backward(counter-current principle).Innovative instrumental assessment structures were created with a new approach of spatially determining SDGs for accelerated Climate Smart Planning(CSP)and Integrated Drought and Water Management(IDWM).This research supports processes around acceleration and assessment of climate change-,crises-related and sustainable development options while enhancing interdisciplinary sustainability science for gaining more regional land resilience.展开更多
基金supported by the National Natural Science Foundation of China(61101173)
文摘The conventional direct position determination（DPD） algorithm processes all received signals on a single sensor.When sensors have limited computational capabilities or energy storage,it is desirable to distribute the computation among other sensors.A distributed adaptive DPD（DADPD）algorithm based on diffusion framework is proposed for emitter localization.Unlike the corresponding centralized adaptive DPD（CADPD） algorithm,all but one sensor in the proposed algorithm participate in processing the received signals and estimating the common emitter position,respectively.The computational load and energy consumption on a single sensor in the CADPD algorithm is distributed among other computing sensors in a balanced manner.Exactly the same iterative localization algorithm is carried out in each computing sensor,respectively,and the algorithm in each computing sensor exhibits quite similar convergence behavior.The difference of the localization and tracking performance between the proposed distributed algorithm and the corresponding CADPD algorithm is negligible through simulation evaluations.
文摘In times of highest necessities for United Nations Sustainable Development Goals(SDGs)and acknowledging planetary boundaries,the need for understanding general global goals and regional to local strategic governing structures has to be supported while combining assessment,monitoring,governance approaches,together with landscape planning,land use based approaches,land system and sustainability science.The initial research embeds an incrementally worked out theoretical framework followed by applied research parts.The case studies and field data in the German Lusatia Region and inner part Spree Forest Region inhabit intrinsic drivers of finding ways over bridging deficiencies of theoretical and applied adjusted objectives and in this small excerpt mainly about the scale and planning level,instrumental flexibility deficiencies while transmitting global transformation needs to the regional,local planning level and backward(counter-current principle).Innovative instrumental assessment structures were created with a new approach of spatially determining SDGs for accelerated Climate Smart Planning(CSP)and Integrated Drought and Water Management(IDWM).This research supports processes around acceleration and assessment of climate change-,crises-related and sustainable development options while enhancing interdisciplinary sustainability science for gaining more regional land resilience.
