基于逆QR分解的RELS参数估计及其并行实现

直接ＱＲ分解法是一种非常稳定的方法，且其旋转计算极易映射到Ｓｙｓｔｏｌｉｃ阵列，但需计算量很大的回代步骤。逆ＱＲ分解则不需回代，而且保留了直接ＱＲ分解法的优点。将逆ＱＲ分解法应用于递推增广最小二乘估计，并给出了相应的Ｓｙｓｔｏｌｉｃ阵列用于并行实现。     

映射循环算法到脉动阵列的一种有效方法

本文提出了把任意ｎ维嵌套循环算法映射和划分到２维固定大小的Ｓｙｓｔｏｌｉｃ阵列的一种自动设计方法，由于考虑了数据相关性，运用该方法产生的ＶＬＳＩ算法的执行时间少，而且不会引起时空冲突。因为平面ＶＬＳＩ阵列容易构造，所以该方法有良好的可行性的实用性。     

一种归并排序算法的阵列映射

本文介绍一种归并排序算法－－插入归并算法的基本原理，并通过该算法的Ｓｙｓｔｏｌｉｃ阵列映射，重点阐述了正则映射生成ＶＬＳＩ阵列的理论和方法，最后，还指出了改进脉动阵列通用性和灵活性的途径。     

模型跟随自适应控制的Systolic实现

模型跟随自适应控制的Ｓｙｓｔｏｌｉｃ实现康正九胡保生（西安交通大学系统工程研究所西安７１００４９）关键词自适应控制，参数估计，并行算法，Ｓｙｓｔｏｌｉｃ阵列．１）国家自然科学基金资助项目收稿日期１９９５－０１－１３１引言自动控制的发展离不开计算机技术...     

Systolic算法和结构求解代数Riccati方程

本文基于矩阵的符号函数法，提出了一种Ｕ－Ｄ分解算法和脉动（Ｓｙｓｔｏｌｉｃ）结构有效地求解代数Ｒｉｃｃａｔｉ方程以及用固定大小的方形阵列解决大型问题的方法。     

Systolic算洁和结构求解代数Riccati方程

本文基于矩阵的符号函数法，提出了一种Ｕ－Ｄ分解算法和脉动（Ｓｙｓｔｏｌｉｃ）结构有效地求解代数Ｒｉｃｃａｔｉ方程以及用固定大小的方形阵列解决大型问题的方法．     

环行阵列神经网络计算机系统

文中首先考察了神经网络计算和并行计算机的特点,提出了环行阵列体系结构,泽环行阵列体系结构和Ｓｙｓｔｏｌｉｃ结构进行了比较。提出了基于环行阵列体系结构的神经网络计算的并行算法,并对该算法的性能进行了分析。     

脉动阵列执行Kalman滤波计算

本文从并行的观点出发，综述了用脉动（Ｓｙｓｔｏｌｉｃ）阵列实现标准Ｋａｌｍａｎ滤波、平方根滤波、平方根信息滤波和扩展Ｋａｌｍａｎ滤波计算，文中还分析了各种阵列结构的大小，计算速度和处理器的利用率。     

声纳自适应波束形成器的集成化实现

研究声纳系统自适应波束形成器的集成化实现技术，采用现场可编程门阵列（ＦＰ－ＧＡ）器件，对ＲＭＧＳＥＦ自适应算法的Ｓｙｓｔｏｌｉｃ处理阵列完成了单片化集成。电路设计过程中根据ＦＰＧＡ器件内部结构特点，对电路结构形式进行了优化。该系统具有很高的运算性能又具有体积小、重量轻、可靠性高的优点，对实时信息处理系统的小型化研究具有参考价值。     

Systolic算法和结构实现固定点平滑计算

本文提出一种适合于并行计算的平方根算法及相应的脉动（Ｓｙｓｔｏｌｉｃ）结构以实现固定点平滑计算。与以前的串行算法比较，这种算法在计算的实时性及数值稳定性方面都得到了提高．文中还对平滑计算的速度及处理器的利用率作了简要分析。     

Adaptive sonar beamformer based on inverse QR decomposition and recursive least squares filter for underwater target detection

To enhance underwater target detection performance, a standard hexagonal array (HA) (plane array) is designed for active sonar implementation in shallow water environments. For the hexagonal receiving array, the numerically robust inverse QR (Q, orthogonal matrix; R, upper triangular matrix) decomposition and recursive least-squares (RLS) are used to derive the minimum variance distortionless response (MVDR) beamformer (BF) under a hexagonal fast Fourier transform (HFFT) framework. The HFFT inverse QR (IQR)-RLS algorithm offers computational saving and can be mapped onto coordinate rotation digital computer processor-based systolic arrays, which makes it suitable for array real-time application. An analysis of the numerical robustness and computational complexity of the adaptive beamforming is presented. Using the proposed scheme to build HA adaptive BF reduces the computational burden and offers a better convergence rate than conventional BF. The experimental data analysis demonstrates the effectiveness of the algorithm against reverberation interference, and its improvement of target localization accuracy in a reverberation-limited area during the underwater target detection process.     

基于正交计算灵敏度的极大似然估计算法*

本文基于正交计算灵敏度的极大似然估计算法研究了弹性飞行器的气动参数辨识问题。文中利用指示函数(indicial function)的概念和Duhamel积分描述任意的非定常气动力过程,借助于正交试验的正交表解决了递推计算灵敏度的数值计算问题。最后给出了弹性飞行器气功参数估计的一个仿真算例。     

A new recurslve method for the analysis of linear time invariant dynamic systems via double-term triangular functions （DTTF） in state space environment

This paper presents a new recursive method for system analysis via double-term triangular functions (DTTF) in state space environment. The proposed method uses orthogonal triangular function sets and proves to be more accurate as compared to single term Walsh series (STWS) method with respect to mean integral square error (MISE). This has been established theoretically and comparison of error with respect to MISE is presented for clarity. A numerical example is treated to establish the proposed method. Relevant curves for the solutions of states of the dynamic system are also presented with plots of percentage error for DTTF-based analysis.     

Time-variant displacement structure and interpolation problems

Derives a new recursive solution for a general time-variant interpolation problem of the Hermite-Fejer type, based on a fast algorithm for the recursive triangular factorization of time-variant structured matrices. The solution follows from studying the properties of an associated cascade system and leads to a triangular array implementation of the recursive algorithm. The system can be drawn as a cascade of first-order lattice sections, where each section is composed of a rotation matrix followed by a storage element and a tapped-delay filter. Such cascades always have certain blocking properties, which can be made equivalent to the interpolation conditions. The authors also illustrate the application of the algorithm to problems in adaptive filtering, model validation, robust control, and analytic interpolation theory     

A unified systolic array for adaptive beamforming

We present a new algorithm and systolic array for adaptive beamforming. Our approach improves on McWhirter's pioneering work in two respects. First, our algorithm uses only orthogonal transformations and thus should have better numerical properties. Second, the algorithm can be implemented on one single p × p triangular array of programmable processors that offers a throughput of one residual element per cycle.     

差分模型参数递推估计的Householder变换法

本文提出了利用Householder变换进行差分模型参数递推估计的新方法.并由该方法导 出了新的递推最小二乘法、递推增广矩阵法、递推广义最小二乘法、递推极大似然法. 文中分单变量、多变量两种情况重点讨论了新递推最小二乘法及其与传统递推最小二乘 法的比较,并给出了计算实例.     

输出信号量化的双率采样系统参数辨识方法

针对双率采样和信号量化(signal quantization)[BFQB]的控制系统,采用随机重复性试验测量信息,提出基于辅助模型的双率采样量化控制系统辨识方法.分析了在随机重复试验和放松估计误差方差条件下,双率采样量化系统的模型特征并给出了分两步辨识的策略,推导了进行参数辨识所满足的持续激励条件,并给出了基于辅助模型的双率采样量化控制系统量化辨识递推算法;接着分析了所给出量化辨识递推算法的收敛性,得到了双率采样量化系统参数估计误差上界的计算式,最后数字仿真验证了该算法及结论的有效性.     

基于状态空间模型广义预测控制的并行算法

本文首先基于脉动阵列经，提出了一种实时参数辨识的并行算法，然后推导出基于状态空间模型广义预测控制的两种新算法，这两种算法都可以通过阵列结构并行实现。     

Recursive least-squares parameter estimation in SISO systems via Poisson moment functionals Part 1. Open–loop systems

A recursive least-squares parameter estimation algorithm based on the Poisson moment functional (PMF) approach for S1SO systems in open-loop is presented in this paper. The proposed algorithm is suitable for on-line parameter estimation of real-world problems. Normalized PMFs are used to improve the performance of the algorithm in noisy conditions.     

基于输入输出模型广义预测控制的并行算法

本文提出了脉动算法实现基于输入输出模型的参数辨识及广义预测自校正控制，给出了相 阵列结构７工行实现这些算法，时序分析表明该方法可使广义预测自校正控制的实时性得到很大提高。