Optimizing polyphase sequences for orthogonal netted radar systems

Orthogonal netted radar systems (ONRS) can fundamentally improve the radar performance by using a group of specially designed orthogonal polyphase code signals which require a very low aperiodic autocorrelation peak sidelobe level, low aperiodic cross-correlation, and a good resilience to small Doppler shifts. However, the existing numerical solutions degrade severely in the presence of small Doppler shifts. A new set of polyphase sequences is presented with good correlation properties as well as resilience to Doppler shifts. These sequences are built by using numerical optimization based on correlation properties as well as the Doppler effects on matched filter outputs, which maintains the Doppler tolerance. The statistical simulated annealing algorithm and the greedy code search method are used to optimize the sequences. Correlation and Doppler results are compared with the best-known sequences and show to be superior.     

增量型电场积分方程结合区域分解及奇异值分解方法分析微带结构

增量型电场积分方程(augmented eletric field integral equation,AEFIE)是一种新的全波分析方法,主要是用来解决大型复杂电磁学问题?AEFIE采用了分离电荷和电流的思想,对电场积分方程进行改革,使其成为低频问题的一种解法,此时积分方程的矢量位和标量位被分离,然后使用合适的频率归一化因子使它们趋于平衡,从而解决EFIE(electric field integral equation)方法中的低频崩溃问题?通过AEFIE方法分析电小尺寸的微带结构,为了能够有效地解决未知量过大的问题,利用远场相互作用形成的子矩阵块具有低秩特性,引入了矩阵分解与奇异值分解算法(matrix decomposition algoithm and singular value decomposition,MDA-SVD),节省了计算时间和内存需求?数值结果表明该方法的有效性和精确性?     

茶园土壤中铅形态分布与茶叶中铅质量分数关系的研究

基于茶园土壤中0～100 cm剖面不同层位各种形态铅及茶叶样品中总铅质量分数(w)的测定分析结果,定量分析了各种形态铅在不同土壤层位中的叫及其分布特点,同时利用灰色关联度分析方法,估算了土壤剖面不同层位中5个形态铅即可交换态(EXE)、碳酸盐结合态(CA)、铁锰氧化物结合态(OX)、有机结合态(OM)和残渣态(REX)的w与茶叶中总铅硼的相关性.研究结果显示:茶园土壤中不同形态铅w在所测剖面范围内的平均值由大到小排序为:叫(REX):>w(OX)>硼(0M)>w(CA)>w(EXE);同一剖面内铅的分布特点为:w(EXE),w(OM),w(REX)为表层高于底层,w(CA)和w(OX)则是底层高于表层;各形态铅所占总铅的比例,随其在土壤剖面各层中w值的变化而变化,其中 EXE铅在各土壤层中所占比例最小,REX铅所占比例最大(除底层外);灰色关联度分析结果显示,茶叶中的铅叫与不同形态铅在土壤各层中的w均呈正相关,但关联度最大的是EXE铅,其次为OM铅,且以表层土壤中的铅对茶叶中铅的w影响最大.     

Multi-component LFM signal detection and parameter estimation based on Radon-HHT

A new method is proposed to analyze multi-component linear frequency modulated （LFM） signals, which eliminates cross terms in conventional Wigner-Ville distribution （WVD）. The approach is based on Radon transform and Hilbert-Huang transform （HHT）, which is a recently developed method adaptive to non-linear and non-stationary signals. The complicated signal is decomposed into several intrinsic mode functions （IMF） by the empirical mode decomposition （EMD）, which makes the consequent instantaneous frequency meaningful. After the instantaneous frequency and Hilbert spectrum are computed, multi-component LFM signals detection and parameter estimation are obtained using Radon transform on the Hilbert spectrum plane. The simulation results show its feasibility and effectiveness.     

Density-functional formula for strongly correlated systems

Density functional method is applied for strongly correlated systems. Based on the assumption that the systems are composed of electrons in singly-occupied orbitals and those in doubly-occupied orbitals, a set of self-consistent equations are obtained by standard variation procedure. The equations consist of two parts. One part is to solve the wave functions of the electrons in singly-occupied orbitals and the other is to solve the wave functions of the electrons in doubly-occupied orbitals. The physical meanings of the terms appearing in the equations are discussed.