New forms of RLS ladder algorithms for array processing

P. Strobach
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Abstract

Summary form only given. Two recently developed triangular array ladder algorithms are discussed. The first algorithm, ARRAYLAD 1, computes both the transversal forward/backward predictor coefficients, the ladder reflection coefficients, and the forward/backward residual energies. This is obtained at a total computational complexity of 1.5 p/sup 2/ multiplications per recursion, where p is the order of the algorithm. ARRAYLAD 1 can therefore be implemented on a triangular systolic array with three multipliers per rotational (triangular array) element in the scalar (single-channel) case. The second algorithm, ARRAYLAD 2, computes only the ladder reflection coefficients and the residual energies at a reduced computation complexity of 1.0 p/sup 2/ multiplications per recursion, hence requiring only two multipliers per triangular array element in a systolic array implementation.<>
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用于数组处理的RLS阶梯算法的新形式
只提供摘要形式。讨论了最近发展起来的两种三角阵列梯形算法。第一种算法ARRAYLAD 1计算横向正向/向后预测系数、阶梯反射系数和正向/向后剩余能量。这是在每次递归的总计算复杂度为1.5 p/sup 2/次的情况下获得的,其中p是算法的阶数。因此,ARRAYLAD 1可以在一个三角形收缩数组上实现,在标量(单通道)情况下,每个旋转(三角形数组)元素有三个乘法器。第二种算法ARRAYLAD 2只计算阶梯反射系数和剩余能量,每次递归的计算复杂度降低到1.0 p/sup / 2/次,因此在收缩数组实现中每个三角形数组元素只需要两个乘法器。
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