ID	原文	译文
52647	无线传感器网络(WSN)中高精度目标跟踪时的传感器能量管理为当前的研究热点。	In wireless sensor networks(WSN), the energy management of sensors for high-precision target tracking is a hot topic.
52648	针对节省能量和能耗均衡问题，提出一种基于能耗约束的传感器选择算法。	Aiming at the balance of energy saving and energy consumption, this paper proposes a sensor selection algorithm based on energy consumption constraint.
52649	算法实现以扩展卡尔曼滤波(EKF)增益矩阵及传感器量测能耗矩阵为待优化变量，	In proposed algorithm, the sum of the trace of the covariance matrix and the energy consumption function of the sensor measurement matrix is taken as the objective function,
52650	以估计协方差矩阵的迹与传感器量测能耗函数的和为目标函数，	the estimated covariance matrix of extended Kalman filter(EKF) and the energy consumption matrix measured by sensors are taken as the variables to be optimized,
52651	结合传感器节点能耗阈值约束，	energy consumption constraint of sensor nodes is introduced to balance energy of WSN,
52652	通过凸优化方法求解。	the convex optimization method is used to solve the problem.
52653	理论推导与仿真实验结果表明，在保证估计精度条件下，本文算法可以有效节省网络能量，实现网络能量均衡。	The theoretical derivation and simulation results show that the proposed algorithm can effectively save network energy and achieve network energy balance under the condition of ensuring the estimation accuracy.
52654	针对于水声信号采集潜标系统的低功耗、长时间、多样化任务控制等需求，设计了一种基于双ARM的潜标控制系统。	Concerning the requirements of low power consumption, long working time, diversified mission control for underwater acoustics signal acquisition system based on submersible buoy, a dual-ARM-based control system of the submersible buoy is proposed.
52655	首先，进行潜标系统构架、工作原理和工作模式的设计与分析。	First, the system architecture, working principle and working mode of the submersible buoy are designed and analyzed.
52656	然后，提出一种基于双ARM架构的潜标控制系统硬件设计方案。	Then, a hardware design of the submersible buoy control system based on dual ARM is proposed.