针对高动态非线性调频直接扩频(NLFM-DSS,nonlinearfrequency modulation direct spreal spectrum)信号伪码捕获的问题,提出一种基于离散多项式相位变换(DPT)的NLFM-DSS信号伪码快捕算法。首先通过瞬态矩确定信号的阶数,并将信号降阶成...针对高动态非线性调频直接扩频(NLFM-DSS,nonlinearfrequency modulation direct spreal spectrum)信号伪码捕获的问题,提出一种基于离散多项式相位变换(DPT)的NLFM-DSS信号伪码快捕算法。首先通过瞬态矩确定信号的阶数,并将信号降阶成带残余频偏的直扩信号。然后采用PMF-FFT与功率谱相结合的方法实现伪码快速捕获。给出了基于该算法的信号模型和理论分析表达式,并通过计算机仿真验证了该方法的可行性,在扩频增益为1023时,利用功率谱非相关累积30次,可在信噪比为-20 dB时捕获到伪码。展开更多
Selecting plants adapted to the climatic and soil conditions of specific locations is essential for environmental protection and economic sustainability of agricultural and pastoral systems. This is particularly true ...Selecting plants adapted to the climatic and soil conditions of specific locations is essential for environmental protection and economic sustainability of agricultural and pastoral systems. This is particularly true for countries like China with a diversity of climates and soils and intended uses. Currently, proper species selection is difficult due to the absence of computer-based selection tools. Climate and soil GIS layers, matched with a matrix of plant characteristics through rules describing species tolerances would greatly improve the selection process. Better matching will reduce environmental hazards and economic risks associated with sub-optimal plant selection and performance. GIS-based climate and soil maps have been developed for China. A matrix of quantitative species tolerances has been developed for example forage species and used in combination with an internet map server that allows customized map creation. A web-based decision support system has been developed to provide current information and links to original data sources, supplementary materials, and selection strategies.展开更多
文摘Selecting plants adapted to the climatic and soil conditions of specific locations is essential for environmental protection and economic sustainability of agricultural and pastoral systems. This is particularly true for countries like China with a diversity of climates and soils and intended uses. Currently, proper species selection is difficult due to the absence of computer-based selection tools. Climate and soil GIS layers, matched with a matrix of plant characteristics through rules describing species tolerances would greatly improve the selection process. Better matching will reduce environmental hazards and economic risks associated with sub-optimal plant selection and performance. GIS-based climate and soil maps have been developed for China. A matrix of quantitative species tolerances has been developed for example forage species and used in combination with an internet map server that allows customized map creation. A web-based decision support system has been developed to provide current information and links to original data sources, supplementary materials, and selection strategies.
