Target estimation using MIMO radar with multiple subcarriers

This paper analyzes the effect of waveform parameters on the joint target location and velocity estimation by a noncoherent multiple input multiple output (MIMO) radar transmitting multiple subcarriers signals. How the number of subcarriers influences the estimation accuracy is illustrated by considering the joint Cramer-Rao bound and the mean square error of the maximum likelihood estimate. The non-coherent MIMO radar ambiguity function with multiple subcarriers is developed and investigated by changing the number of subcarriers, the pulse width and the frequency spacing between adjacent subcarriers. The numerical results show that more subcarriers mean more accurate estimates, higher localization resolution, and larger pulse width results in a worse performance of target location estimation, while the frequency spacing affects target location estimation little.     

一种基于相位对消的转角估计新方法

逆合成孔径雷达成像中,为校正散射点越多普勒单元走动和方位向定标,需要对目标转角进行估计。在详细分析雷达目标回波相位特性的基础上,提出一种基于相位对消的转角估计方法。该算法通过对消回波的相位一次项后,对回波相位二次项系数进行估计,从而根据二次项系数与转角的关系获得转角估计值。同时,考虑到回波能量在成像平面的分布特点,采用加权最小二乘法对估计结果进行拟合。与现有方法相比较,新方法在稳健性和实时性上有较大改进。仿真数据和暗室数据的成像结果证明了该方法的有效性。     

综合评判的属性测度四维阵列模型及权重确定方法

属性集和属性测度理论［１］是一套全新的描述不确定性现象的理论,本文在此基础上建立了群体决策综合评价的属性测度四维阵列模型,并给出了一种新的权重确定方法.     

模糊决策方法研究

模糊决策是模糊集合论与决策理论相结合的产物．本文概要讨论模糊决策方法的若干基本问题,包括模糊一致关系,模糊一致矩阵及其应用,广义去模糊机制等．     

全局DEA模型研究

在传统ＤＥＡ的基础上提出了全局ＤＥＡ模型,该模型不仅克服了传统ＤＥＡ的局限性,而且以整体效率最优为出发点来优化决策单元的投入和产出分量。案例分析表明此模型切实可行,拓宽了ＤＥＡ的应用。     

A kind of Generalized Learning Model

1　IntroductionSymboliclearning,connectivelearning,fuzzylearningandevolutionarylearningarethepresentfundamentalmethodsformachinelearning[1～3].Eachofthemhascharacteristicsandadvantages,andcancarryoutmachinelearningtasksincertainregioneffectively.Howe...     

生态农业投资项目外部效益评估的专家系统研制

将生态农业“三效益”扩充为“五效益”,并根据“五效益”最佳统一的原则,用人工智能语言－Ｐｒｏｌｏｇ编制推理机,用Ｃ语言编制分析机,进而将两结合构筑专家决策系统,系统可在不同段资规模、不同技术水平及不同投资时机等条件的约束下对生态投资项目外部效益进行主估。     

MIMO雷达反向投影成像算法

针对多输入多输出(multiple-input multiple-output, MIMO)雷达的多收发固定阵列结构,在标准反向投影(back projection, BP)成像算法基础上,提出了一种修正BP成像算法。该算法首先对MIMO雷达距离压缩回波数据进行时延曲线校正处理,而后沿方位向直接相干叠加各路回波处理数据,从而无需距离插值即可实现方位聚焦。与标准BP算法相比,修正BP算法大大降低了运算量,同时也克服了现有快速BP算法大都没有考虑距离插值运算的缺陷。MIMO雷达外场实测数据处理表明：与标准BP算法相比,修正BP算法有效节省了运算时间,并保持了雷达成像质量。     

Compressed sensing based channel estimation for fast fading OFDM systems

A compressed sensing (CS) based channel estimation algorithm is proposed by using the delay-Doppler sparsity of the fast fading channel. A compressive basis expansion channel model with sparsity in both time and frequency domains is given. The pilots in accordance with a novel random pilot matrix in both time and frequency domains are sent to measure the delay-Doppler sparsity channel. The relatively nonzero channel coefficients are tracked by random pilots at a sampling rate significantly below the Nyquist rate. The sparsity channels are estimated from a very limited number of channel measurements by the basis pursuit algorithm. The proposed algorithm can effectively improve the channel estimation performance when the number of pilot symbols is reduced with improvement of throughput efficiency.