作者: Xianghua Zeng , Shaojie Ni , Rui Ge , Feixue Wang
DOI: 10.1007/978-3-642-34522-7_14
关键词: Direct-sequence spread spectrum 、 Algorithm 、 Extreme value theory 、 GNSS applications 、 Electronic engineering 、 Spread spectrum 、 Quantization (signal processing) 、 Monte Carlo method 、 Satellite navigation 、 Computer science 、 Statistical signal processing
摘要: Based on the correlation properties of pseudo-random code in spread spectrum receivers, a novel and unified quantizer model was established, which suitable for both uniform nonuniform quantization. Statistical signal processing technique extreme value theory were employed to obtain analytical formulas optimal quantization corresponding losses. Numerical results quantization, theoretically are achieved using genetic algorithm Monte Carlo simulation, can be used guide engineering design GNSS receivers.