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Variable step-size normalized adaptive direct position determination by alternate iteration

机译:通过交替迭代确定可变步长归一化自适应直接位置

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The adaptive direct position determination (ADPD) algorithm provides an effective method to determine the emitter position directly. However, the algorithm has the dilemma of fast convergence rate or low steady-state mean-square error since the fixed step-sizes are used. In this paper, the variable step-size normalization scheme and alternate iteration scheme are jointly applied in the adaptive direct position determination algorithm. The improvements of the proposed algorithm in complex scenarios are verified through simulations.
机译:自适应直接位置确定(ADPD)算法提供了一种直接确定发射器位置的有效方法。然而,由于使用固定步长,该算法具有快速收敛速度或低稳态均方误差的难题。本文将可变步长归一化方案和交替迭代方案联合应用在自适应直接位置确定算法中。通过仿真验证了该算法在复杂场景下的改进。

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