CLASSIFIED ADVERTISEMENTS

ＣＬＡＳＳＩＦＩＥＤＡＤＶＥＲＴＩＳＥＭＥＮＴＳＴｈｅｉｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅｏｆｔｈｅＣｈｉｎｅｓｅＡｃａｄｅｍｙｏｆＳｃｉｅｎｃｅｓｉｎｖｉｔｅｓａｐｐｌｉｃａｔｉｏｎｓｆｏｒａ１００－ｐｅｏｐｌｅ－ｐｒｏｊｅｃｔｐｏｓ...     

LIMIT THEOREMS FOR SUMS AND MAXIMA OF MIRWISE NEGATIVE QUADRANT DEPENDENT RANDOM VARIABLES

ＬＩＭＩＴＴＨＥＯＲＥＭＳＦＯＲＳＵＭＳＡＮＤＭＡＸＩＭＡＯＦＭＩＲＷＩＳＥＮＥＧＡＴＩＶＥＱＵＡＤＲＡＮＴＤＥＰＥＮＤＥＮＴＲＡＮＤＯＭＶＡＲＩＡＢＬＥＳ￥ＱＩＹｏｎｇｃｈｅｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，Ａｃａｄｅｍｉａ...     

Data Envelopment Analysis Approach on the Industrial Efficiency and Scales and Its Application in Shandong

ＤａｔａＥｎｖｅｌｏｐｍｅｎｔＡｎａｌｙｓｉｓＡｐｐｒｏａｃｈｏｎｔｈｅＩｎｄｕｓｔｒｉａｌＥｆｆｉｃｉｅｎｃｙａｎｄＳｃａｌｅｓａｎｄＩｔｓＡｐｐｌｉｃａｔｉｏｎｉｎＳｈａｎｄｏｎｇＷＡＮＧＸｉｎｇｙｕａｎ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｎａｇｅｍｅ...     

ASYMPTOTIC BEHAVIOR OF THE ESTIMATES OF HIGHER ORDER SPECTRA UNDER TRUNCATED WINDOW

ＡＳＹＭＰＴＯＴＩＣＢＥＨＡＶＩＯＲＯＦＴＨＥＥＳＴＩＭＡＴＥＳＯＦＨＩＧＨＥＲＯＲＤＥＲＳＰＥＣＴＲＡＵＮＤＥＲＴＲＵＮＣＡＴＥＤＷＩＮＤＯＷＹＵＤａｎ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎ...     

ON ASYMPTOTICALLY MEDIAL UNBIASED ESTIMATORS IN TRVNCATED－TYPE DISTRIBUTION FAMILIES

ＯＮＡＳＹＭＰＴＯＴＩＣＡＬＬＹＭＥＤＩＡＬＵＮＢＩＡＳＥＤＥＳＴＩＭＡＴＯＲＳＩＮＴＲＶＮＣＡＴＥＤ－ＴＹＰＥＤＩＳＴＲＩＢＵＴＩＯＮＦＡＭＩＬＩＥＳＬＩＡＮＧＨｕａ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｎｉｃａ...     

SYSTEMS SCIENCE AND MATHEMATICAL SCIENCES

ＳＹＳＴＥＭＳＳＣＩＥＮＣＥＡＮＤＭＡＴＨＥＭＡＴＩＣＡＬＳＣＩＥＮＣＥＳＩｎｓｔｒｕｃｔｉｏｎｆｏｒＡｕｔｈｏｒｓＴｈｅＥｎｇｌｉｓｈｅｄｉｔｉｏｎｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅａｎｄＭａｔｈｅｍａｔｉｃａｌＳｃｉｅｎｃｅｓｉｓｄｉｓｔｒｉｂｕｔ...     

SYSTEMS SCIENCE AND MATHEMATICAL SCIENCES

ＳＹＳＴＥＭＳＳＣＩＥＮＣＥＡＮＤＭＡＴＨＥＭＡＴＩＣＡＬＳＣＩＥＮＣＥＳＩｎｓｔｒｌｌｃｔｉｏｎｆｏｒＡｕｔｈｏｒｓＴｈｅＥｎｇｌｉｓｈｅｄｉｔｉｏｎｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅａｎｄＭａｔｈｅｍａｔｉｃａｌＳｃｉｅｎｃｅｓｉｓｄｉｓｔｒｉｂｕ...     

SECOND ORDER ASYMPTOTIC EFFICIENCY IN A PARTLY AUTOREGRESSIVE MODEL

ＳＥＣＯＮＤＯＲＤＥＲＡＳＹＭＰＴＯＴＩＣＥＦＦＩＣＩＥＮＣＹＩＮＡＰＡＲＴＬＹＡＵＴＯＲＥＧＲＥＳＳＩＶＥＭＯＤＥＬＬＩＡＮＧＨｕａ（ＩｎｓｔｉｔｕｔｅｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅ，ＡｃａｄｅｍｉａＳｉｌｉｃａ，Ｂｅｉｊｉｎｇ１０００８０，Ｃｈ...     

SYSTEMS SCIENCE AND MATHEMATICAL SCIENCES

ＳＹＳＴＥＭＳＳＣＩＥＮＣＥＡＮＤＭＡＴＨＥＭＡＴＩＣＡＬＳＣＩＥＮＣＥＳＩｎｓｔｒｕｃｔｉｏｎｆｏｒＡｕｔｈｏｒｓＴｈｅＥｎｇｌｉｓｈｅｄｉｔｉｏｎｏｆＳｙｓｔｅｍｓＳｃｉｅｎｃｅａｎｄＭａｔｈｅｍａｔｉｃａｌＳｃｉｅｎｃｅｓｉｓｄｉｓｔｒｉｂｕｔ...     

OUTLIER SCORE TEST IN A GROWTH CURVE MODEL

ＯＵＴＬＩＥＲＳＣＯＲＥＴＥＳＴＩＮＡＧＲＯＷＴＨＣＵＲＶＥＭＯＤＥＬＦＥＩＹｕ（ＤｅｐａｒｔｍｅｎｔｏｆＡｃｃｏｕｎｔｉｎｇ，ＹｕｎｎａｎＵｎｉｖｅｒｓｉｔｙ，Ｋｕｎｍｉｎｇ６５００９１，Ｃｈｉｎａ）Ａｂｓｔｒａｃｔ：Ｓｃｏｒｅｔｅｓｔｓｔａｔｉｓ...     

MIMO-DCSK communication scheme and its performance analysis over multipath fading channels

The differential chaotic shift keying （DCSK） communication in multiple input multiple output （MIMO） multipath fading chan- nels is considered. A simple MIMO-DCSK communication scheme based on orthogonal multi-codes （OMCs） and equal gain combination （EGC） is proposed, in which OMCs are used to spread the same information bit at each transmitting antenna and the infor- mation bit is detected by EGC at receiving antenna. The OMCs are constructed from one chaotic sequence by means of othogo- nal space-time block coding （OSTBC）. The output signal-to-noise ratio （SNR） after EGC is given based on central limit theory （CLT）, and it can effectively exploit the spatial diversity of the underlying MIMO system. Simulation results show that the full spatial diversity gain is achieved without channel estimation in the MIMO-DCSK communication scheme and it performs better than MC-EGC for a large number of transmitting antennas.     

Blind channel estimation for multiple antenna OFDM system subject to unknown carrier frequency offset

The problem of channel estimation for multiple an- tenna orthogonal frequency division multiplexing （OFDM） systems subject to unknown carrier frequency offset （CFO） is addressed. Multiple signal classification （MUSIC）-Iike algorithm, which generally has been used for direction estimation or frequency estimation, is used for channel estimation in multiple antenna OFDM systems. A reduced dimensional （RD）-MUSIC based algorithm for channel estimation is proposed in multiple antenna OFDM systems with unknown CFO. The Cramer-Rao bound （CRB） of channel estimation in multiple antenna OFDM systems with unknown CFO is derived. The proposed algorithm has a superior performance of channel estimation compared with the Capon method and the least squares method.     

基于L型阵列MIMO雷达的DOA矩阵方法

首先提出一种基于波达方向（direction of arrival, DOA）矩阵思想的L型阵列多输入多输出（multiple input multiple output, MIMO）雷达二维角度估计方法。通过将L型阵列MIMO雷达所产生的二维虚拟平面阵列划分为两个子阵,并构造估计矩阵以实现二维角度估计。在此基础上,针对角度兼并问题,进一步提出联合对角化DOA矩阵方法。该方法通过构造4个子阵,并采用联合对角化方法估计目标二维角度。该方法在保持原DOA矩阵法无需二维谱峰搜索和参数配对等优点的基础上避免了角度兼并问题,能够减少阵列孔径损失,有效提高阵元利用率和角度估计精度。仿真实验验证了所提方法的有效性。     

Modified MUSIC estimation for correlated signals with compressive sampling arrays

This paper addresses the issue of the direction of arrival （DOA） estimation under the compressive sampling （CS） framework. A novel approach, modified multiple signal classification （MMUSIC） based on the CS array （CSA-MMUSIC）, is proposed to resolve the DOA estimation of correlated signals and two closely adjacent signals. By using two random CS matrices, a large size array is compressed into a small size array, which effectively reduces the number of the front end circuit. The theoretical analysis demonstrates that the proposed approach has the advantages of low computational complexity and hardware structure compared to other MMUSIC approaches. Simulation results show that CSAMMUSIC can possess similar angular resolution as MMUSIC.     

一类适用于超宽带无线电的跳时序列族

跳时技术是超宽带无线电实现多址通信的一项关键技术。为保证超宽带无线电的可靠通信并减小系统中用户之间的多址干扰,系统要求跳时序列具有优良的跳时相关性能。基于对二次同余理论的研究,构造了一类适合于超宽带无线电通信系统的跳时序列族,给出了它的构造方法和序列的性质。然后通过对跳时序列相关性能的分析,证明了所得到的跳时序列族具有优良的跳时相关性能,满足跳时异相自相关最大值S_(max)≤2,跳时互相关最大值C_(max)≤4。最后,将该类跳时序列族用于超宽带无线电多用户通信系统进行了误码率性能仿真,仿真结果表明采用该序列族将使系统具有更好的多址性能。     

基于变换域张量的机载阵列DOA和极化参数估计

针对强杂波背景下多目标回波的参数估计问题,现有的基于长矢量的多重信号分类(long vector multiple signal classification, LV-MUSIC)法精度下降,基于张量的MUSIC(tensor MUSIC, T-MUSIC)方法通道数不足,无法计算噪声子空间投影矩阵。因此提出基于变换域张量的MUSIC方法。算法利用张量结构,在时域分离不同多普勒频率的信号,分别估计各多普勒通道的回波参数。相比于LV-MUSIC和T-MUSIC,所提算法避免了多目标背景下自由度不足导致的目标分辨力下降的问题,并且能获得更高精度的参数估计。仿真实验证明,所提算法有更高的目标分辨能力,在低信噪比条件下仍保持良好的性能。     

基于几何的V2V三维MIMO信道建模及统计特性分析

为准确刻画复杂无线通信场景下车对车多输入多输出信道特征, 结合双圆柱模型和椭球模型, 提出一种改进的三维基于几何随机信道模型, 并推导了仿真模型。该模型综合考虑环境中移动和静止有效散射体的分布, 能够体现各种实际场景中散射体分布形式、天线阵列排列方式及车流量密度对空时相关函数、多普勒功率谱密度等信道统计特性的影响。仿真结果表明, 该参考模型扩展了基于几何的车对车信道建模方法, 可服务于车联网环境下车载无线通信系统的设计和性能分析; 同时验证了仿真模型的准确性。     

Gamma-Gamma模型下采用PPM调制的MIMO-FSO系统误时隙率分析

分析了在Gamma-Gamma分布下基于脉冲位置调制(pulse position modulation, PPM)方式的多输入输出自由空间光学（multiple input multiple output free space optics, MIMO-FSO）通信系统模型。首先推导了单输入单输出（single input single output, SISO)-PPM系统的误时隙率（slot error rate, SER）计算公式,以此作为参考,在独立同分布和独立分布参数不同情况下,分别推导出MISO-PPM、SIMO-PPM和MIMO-PPM系统的平均SER计算公式,并用数值仿真的方法,分析了它们的平均SER性能。仿真结果表明,在Gamma-Gamma分布模型下,采用多发多收的方法确实能有效提高FSO系统的平均SER性能,如在误时隙率为10 ^-4 时,M = 2、N =2 的MIMO-PPM系统在信道分布参数相同和不同时,与SISO-PPM相比,分别能节省信噪比50 dB和65 dB左右。实际应用中,M 和N 分别取3或4就基本足够,对无线光通信系统的理论分析和系统设计具有一定的指导意义。     

High-resolution swath bathymetry using MIMO sonar system

For increasing the cross-track resolution, the multiple input multiple output （MIMO） technique is introduced into the swath bathymetry system and a new swath bathymetry approach using MIMO sonar is proposed. The MIMO sonar is composed of two parallel transmitting uniform linear arrays （ULAs） and a receiving ULA which is perpendicular to the former. The spacing between the two transmitting ULAs is equal to the product of the receiving sensor number and the receiving inter-sensor spacing. Furthermore, two narrowband linear frequency modulation （LFM） pulses, sharing the same frequency band but with opposite modulation slopes, are used as transmitting waveforms of the two transmitting ULAs. With such an array layout and transmitting signals, the MIMO sonar can sound a swath with the cross-track resolution doubling that of the traditional multibeam sonar using a Mills cross array. Numerical examples are provided to verify the effectiveness of the proposed approach.     

多模型广义标签多伯努利滤波器

标准广义标签多伯努利算法没有对目标状态转移密度进行深入分析, 在带入确定运动模型的情况下无法对机动目标进行跟踪。针对这个问题, 参考基于马尔可夫跳变分支合并策略的多模型算法, 提出了交互多模型广义标签多伯努利算法、一阶广义伪贝叶斯广义标签多伯努利算法, 以及二阶广义伪贝叶斯广义标签多伯努利算法, 并将这三种多模型算法与同样针对机动多目标的马尔可夫跳变系统广义标签多伯努利算法进行比较。仿真结果表明, 与马尔可夫跳变系统广义标签多伯努利算法相比, 所提三种算法具有更低的计算时间消耗和更高的跟踪精度。其中, 一阶广义伪贝叶斯广义标签多伯努利算法计算时间消耗最低, 二阶广义伪贝叶斯广义标签多伯努利算法跟踪精度最高, 交互多模型广义标签多伯努利算法综合性能最好。