调频步进雷达回波实时数字生成的一种新方法

突破宽带信号数字生成方法的框架 ,提出了基于波形存储和实时计算相结合的调频步进雷达回波高速实时数字生成新方法。基于某调频步进雷达系统的研究 ,提出的解决方案摆脱了传统的波形存储直读法和直接数字合成法的局限性 ,即不适应于变换参数的情况 (比如运动目标 ) ,成功地实现了运动多散射点目标回波的实时产生 ,证明方案可行。还对算法的数值稳定性进行了分析。     

机动运动辐射源的单站无源定位自适应算法

利用目标到达角(DOA)和到达时间(TOA)作为测量数据,采用最优加权最小二乘估计和基于机动加速度的非零均值时间相关模型的自适应卡尔曼滤波算法,通过加速度方差对滤波增益的修正,完成机动加速度方差自适应算法,实现了对机动目标进行单站无源定位与跟踪的方法.计算机仿真验证了算法的有效性和可行性,证明该方法在无源定位系统中有一定的参考价值.     

可拓聚类预测方法及其在邮电业务总量预测中的应用

本文提出一种新的预测方法－可拓聚类预测方法,并用该方法进行邮电业务总量预测的研究。利用邮电业务总量和三大产业的生产总值的历史数据构造分类经典域和节域物元,应用物元和可订合中的关联函数,建立了业务量水平聚类预测的一种简单模型,通过聚类分析得到邮电业务量预测结果,本文利用我国某地区的实际数据分析计算,结果表明可拓聚类预测方法是有效的。     

我国证券市场混沌的判据

本文通过李雅普诺夫指数和吸引子的分数维这两个指数来研究我国证券市场的混沌特征。利用Ｗｏｌｆ提出的重构相空间技术和Ｇ－Ｐ算法分别计算了上证综指日收益率序列的李雅普诺夫指数和吸引子的分数维。从而得出我国证券市场运行于混沌状态的有力证据。     

黄淮海平原县域粮食单产的增长趋势及其稳定性比较

建国以来黄淮海平原粮食单产持续增长,近年来仍然高于全国同期单产增速。尽管个别高产区单产年均增长率下降,但广大中低产区粮食单产的年均增长率仍然维持着较高的水平,全国粮食单产的增长潜力在于对广大中低产区的投入改造,生产条件的改善可明显增强粮食单产年际间增长的稳定性。     

复杂准备结构下多部件动态批量问题的模型和算法

本研究是在著名的有能力约束的批量决策问题CLSP(The Capacitated Lot SizingProblem)基础上进行的。CLSP确定未来有限个周期里在单台设备上生产几种部件的生产数量及时间,以及时满足其外部用户需要(不允许缺货)。每一生产周期里,该设备可生产多种部件。不同部件间的生产转换将花费准备时间和(或)费用。如期末有库存则将发生库存费用。有关部件费用及外部用户需要量虽是已知确定的但随时间变化。目标是如何生产以便在不超过设备生产能力前提下使准备费用、生产费用和库存费用之和尽量最小。在过去的 数十年里,有众多著名科学家研究过CLSP问题。     

Combined effects of solar UV radiation and CO2-induced seawater acidification on photosynthetic carbon fixation of phytoplankton assemblages in the South China Sea

We carried out short term pCO₂/pH perturbation experiments in the coastal waters of the South China Sea to evaluate the combined effects of seawater acidification (low pH/high pCO₂) and solar UV radiation (UVR, 280–400 nm) on photosynthetic carbon fixation of phytoplankton assemblages. Under photosynthetically active radiation (PAR) alone treatments, reduced pCO² (190 ppmv) with increased pH resulted in a significant decrease in the photosynthetic carbon fixation rate (about 23%), while enriched pCO₂ (700 ppmv) with lowered pH had no significant effect on the photosynthetic performance compared to the ambient level. The apparent photosynthetic efficiency decreased under the reduced pCO₂ level, probably due to C-limitation as well as energy being diverged for up-regulation of carbon concentrating mechanisms (CCMs). In the presence of UVR, both UV-A and UV-B caused photosynthetic inhibition, though UV-A appeared to enhance the photosynthetic efficiency under lower PAR levels. UV-B caused less inhibition of photosynthesis under the reduced pCO₂ level, probably because of its contribution to the inorganic carbon (Ci)-acquisition processes. Under the seawater acidification conditions (enriched pCO₂), both UV-A and UV-B reduced the photosynthetic carbon fixation to higher extents compared to the ambient pCO₂ conditions. We conclude that solar UV and seawater acidification could synergistically inhibit photosynthesis.     

Spectral Properties and Positivity of Flows in Infinite Networks with Dynamic Boundary Control Nodes

In this paper we study transport processes on infinite networks with dynamic boundary control nodes. These flows can be modeled by operator semigroups on a suitable Banach space. Using functional analytical and graph theoretical methods, we investigate its spectral properties of the system and positivity of the semigroup under appropriate assumptions on the network.     

Optimized LDPC differential-encoded 16QAM scheme for high-speed transmission systems

The 16-ary quadrature amplitude modulation （16QAM） is a high spectral efficient scheme for high-speed transmission systems. To remove the phase ambiguity in the coherent detection system, differential-encoded 16QAM （DE-16QAM） is usually used, however, it will cause performance degradation about 3 dB as compared to the conventional 16QAM. To overcome the performance loss, a serial concatenated system with outer low density parity check （LDPC） codes and inner DE-16QAM is proposed. At the receiver, joint iterative differential demodulation and decoding （ID） is carried out to approach the maximum likelihood performance. Moreover, a genetic evolution algorithm based on the extrinsic information transfer chart is proposed to optimize the degree distribution of the outer LDPC codes. Both theoretical analyses and simulation results indicate that this algorithm not only compensates the performance loss, but also obtains a significant performance gain, which is up to 1 dB as compared to the conventional non-DE-16QAM.     

Positive observer design for positive Markovian jump systems with partly known transition rates

The paper is concerned with positive observer design for positive Markovian jump systems with partly known transition rates. By applying a linear co-positive type Lyapunov-Krasovskii function, a sufficient condition is proposed to ensure the stochastic stability of the error positive system and the existence of the positive observer, which is computed in linear programming. Finally, an example is given to demonstrate the validity of the main results.