窗谱比值校正法在雷达干扰系统自校中的应用

全极化有源假目标干扰系统,具有调制、转发任意极化形式假目标的能力,由于H,V极化通道之间幅相特性存在着不可避免的差异,降低了后续数字信号处理精度,从而影响了系统的干扰效果。针对这一问题,应用对频谱的比值校正法,解决了离散频谱的幅值和相位的精确求解问题,较好地校正了H,V极化通道之间的幅相不一致,并且在基于FPGA+DSP的数字信号处理板上实现了该方法,实验证明该方法校准效果良好,有较强的应用价值。     

一种无线传感器网络公平数据收集方案(英文)

To solve the slow congestion detection and rate convergence problems in the existing rate control based fair data collection schemes, a new fair data collection scheme is proposed, which is named the improved scheme with fairness or ISWF for short. In ISWF, a quick congestion detection method, which combines the queue length with traffic changes of a node, is used to solve the slow congestion detection problem, and a new solution, which adjusts the rate of sending data of a node by monitoring the channel utilization rate, is used to solve the slow convergence problem. At the same time, the probability selection method is used in ISWF to achieve the fairness of channel bandwidth utilization. Experiment and simulation results show that ISWF can effectively reduce the reaction time in detecting congestion and shorten the rate convergence process. Compared with the existing tree-based fair data collection schemes, ISWF can achieve better fairness in data collection and reduce the transmission delay effectively, and at the same time, it can increase the average network throughput by 9.1% or more.