推导了机载相控阵雷达空时二维自适应信号最优处理器的另一种等价表达式。由此提出了空时二维部分自适应处理框架，将文献上已有的主要几个空时二维部分自适应方法给出了统一的分析形式，并着重对基于DoppIer预滤波的2种典型降维空时二维处理方案进行了详细的性能比较。

提出了一种抑制机载相控阵雷达地杂波的时一空二维自适应处理新方法，将capon滤波法（3），作了修改，除待检测的多普勒通道输出的一组数据外，还将其左右相邻多普勒通道输出的另两组数据也加入进行自适应处理，本文将功率倒置法推广应用于这三组数据。作时空二维处理。计算机模拟结果表明新方法比Capon滤波法对阵元幅相误差具有更强的容差能力，对低速目标的检测性能有明显的改善。

A computationally e/cient method for two-dimensional direction-of-arrival estimation of multiple narrowband sources impinging on the far Oeld of a planar array is presented. The key idea is to apply the propagator method which only requires linear operations but does not involve any eigendecomposition or singular value decomposition as in common subspace techniques such as MUSIC and ESPRIT. Comparing with a fast ESPRIT-based algorithm, it has a lower computational complexity particularly when the ratio ofarray size to the number ofsources is large, at the expense ofnegligible performance loss. Simulation results are included to demonstrate the performance of the proposed technique.

The main disadvantage of OFDM systems is its sensitivity to carrier frequency offset (CFO) and timing offset. In this paper, an efficient method for estimating CFO is developed based on maximum likelihood principle, of which emphasis on the CFO ambiguity resolution. In this method, only one training symbol is required and the range of the CFO which can be handled is the overall transmission spectrum. Differential coding in frequency-domain is performed to estimate the integral part of CFO (IFO). When frequencyselective channel is present, a prior information of the statistic of the channel frequency response is used to eliminate its effect on estimation performance. Computer simulations are performed to show the superiority to the method available1.

本文研究阵列雷达对起伏目标的方向一多普勒频率二维估计问题，由于阵列天线各阵元特性不一致，阵列流形不可精确已知。本文基于高阶统计量提出了利用旋转不变技术实现未精确已知阵列流形（Array manifold）条件下，方向一多普勒频率盲估计的新方法，当发生目标多普勒频率一维兼并时，用此方法仍能分辨目标的方向，并估计出多普勒频率。计算机仿真结果验证了此方法的有效性。

本文研究了不可避免的阵元幅相误差对各列先微波合成为列子阵的矩形侧面相控阵机载预警（AEW）雷达二维杂波谱的影响，并分析了基于理想“脊背型”杂波谱的二维信号处理性能下降的原因，为深入研究时空二维处理提供了基础。

A multiple-input multiple-output (MIMO) wireless communication system with orthogonal frequency division multiplexing(OFDM) is expected to be a promising scheme. However, the estimation of the carrier frequency offset (CFO) and the channelparameters is a great challenging task. In this paper, a maximum-likelihood-(ML-) based algorithm is proposed to jointly estimate the frequency-selective channels and the CFO in MIMO-OFDM by using a block-type pilot. The proposed algorithm is capable of dealing with the CFO range nearly

针对传统单用户检测器存在远近效应和性能下界问题，近年来提出的一系列最大SINR准则盲空时RAKE接收机，可以较好地合并期望用户的多径分量，同时抑制多址干扰用户能量。本文对这类接收机进行了进一步的研究，提出了一种自干扰抵消方法，更有效地克服了单用户检测器存在的性能下界以及远近效应问题。仿真结果验证了本文方法的有效性。

A pattern synthesis method for arbitrary arrays based on the linearly constrained minimum variance (LCMV) criterion is presented. Given mainlobe regions and an arbitrary sidelobe envelope, this algorithm searches the pattern with the lowest sidelobe levels. Its iteration coefficient is robust to synthesis conditions, and patterns with a flat top mainlobe can be obtained using phase-independent derivative constraints. Introduction: Recently, pattern synthesis for arbitrary arrays has been a focus of research and many approaches have been proposed. One method [1, 2] is to apply adaptive array theory. Iteration coefficients are important, which determine stability and convergence speed, but the iteration coefficients cannot be chosen easily. Especially in [1], the proper value of the coefficient is dependent on the synthesis conditions, and needs modifying by an iteration process. The value is obtained by trial and error. Although the method in [2] is for a mainlobe control mechanism, the appropriate reference pattern Pr(y) (y is angle of arrival) in [2] cannot be chosen easily because it is complex-valued. Its magnitude can be easily determined according to the mainlobe shape, but its appropriate phase cannot be chosen easily. For example, we should not make Pr(y) (y in mainlobe region) equal to a real constant in order to obtain a pattern with a flat top mainlobe. Its phase is constrained to zero in all the mainlobe region if we do so, which is unnecessary because we do not mind its phase in the problem of pattern synthesis. This may cause undesirably high sidelobes and the requirement of more array elements to meet the same synthesis specifications. In this Letter, a new algorithm is presented. Its coefficient is robust to synthesis conditions and flat mainlobe patterns can be obtained easily using derivative constraints. Given mainlobe regions and sidelobe envelopes, the algorithm searches the pattern with the lowest sidelobe levels, which is different from the algorithms in [1] and [2]. These fix the difference of the sidelobe level and mainlobe peak beforehand without regard to whether it can be achieved for the given array.

本文研究相控阵脉冲多普勒（PD）雷达多目标波达方向（Direction of Arival，简称DOA）和多普勒频率同时估计问题，在未精确已知阵列流形条件下，提出了一种实现简单的盲波束形成方式的DOA-Doppler稳健估计新方法，理论分析和计算机仿真结果验证了其有效性。