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首页> 外文会议>International conference on graphic and image processing >Direct Position Determination for Digital Modulation Signals Based on Improved Particle Swarm Optimization Algorithm
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Direct Position Determination for Digital Modulation Signals Based on Improved Particle Swarm Optimization Algorithm

机译：基于改进粒子群算法的数字调制信号直接位置确定

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摘要

The Direct Position Determination (DPD) algorithm has been demonstrated to achieve a better accuracy with known signal waveforms. However, the signal waveform is difficult to be completely known in the actual positioning process. To solve the problem, we proposed a DPD method for digital modulation signals based on improved particle swarm optimization algorithm. First, a DPD model is established for known modulation signals and a cost function is obtained on symbol estimation. Second, as the optimization of the cost function is a nonlinear integer optimization problem, an improved Particle Swarm Optimization (PSO) algorithm is considered for the optimal symbol search. Simulations are carried out to show the higher position accuracy of the proposed DPD method and the convergence of the fitness function under different inertia weight and population size. On the one hand, the proposed algorithm can take full advantage of the signal feature to improve the positioning accuracy. On the other hand, the improved PSO algorithm can improve the efficiency of symbol search by nearly one hundred times to achieve a global optimal solution.
机译：已经证明直接位置确定（DPD）算法可以在已知信号波形下实现更好的精度。但是，在实际定位过程中很难完全知道信号波形。为了解决这个问题，我们提出了一种基于改进粒子群算法的数字调制信号DPD方法。首先，为已知的调制信号建立DPD模型，并在符号估计中获得成本函数。其次，由于成本函数的优化是一个非线性整数优化问题，因此针对最优符号搜索考虑了一种改进的粒子群优化（PSO）算法。仿真结果表明，所提出的DPD方法具有较高的定位精度，并且在不同的惯性权重和总体大小下，适应度函数的收敛性。一方面，提出的算法可以充分利用信号特征来提高定位精度。另一方面，改进的PSO算法可以将符号搜索的效率提高近一百倍，以实现全局最优解。

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