论文部分内容阅读
在全球导航卫星系统(GNSS)信号质量监测及GNSS射频(RF)信号模拟器测试等应用中,有用信号功率往往远高于噪声功率。针对二进制相位移位键控(BPSK)和二进制偏移载波(BOC)调制信号,首次研究了这种强信号条件下接收机带限滤波、采样和量化(BSQ)引起的相关损耗。首先分析了不考虑量化作用时由滤波和采样引起的损耗;然后分析了不考虑前端滤波时由量化和采样引起的损耗,推导了相关损耗的解析表达式并得到了量化器的最佳量化间隔;最后,对于滤波、采样、量化共同作用引起的损耗,采用蒙特卡罗方法仿真分析了GPS L1 C/A信号在不同滤波带宽和量化比特数下的归一化相关功率,探讨了根据仿真结果拟合相关损耗解析表达式的方法以简化分析。
In applications such as Global Navigation Satellite System (GNSS) signal quality monitoring and GNSS RF signal simulator testing, the useful signal power tends to be much higher than the noise power. For Binary Phase Shift Keying (BPSK) and Binary Offset Carrier (BOC) modulation signals, the correlation loss caused by receiver band limited filtering, sampling and quantization (BSQ) is studied for the first time. Firstly, the loss caused by filtering and sampling when the quantization is not considered is analyzed. Then the loss caused by quantization and sampling without considering the front-end filtering is analyzed. The analytical expression of the correlation loss is deduced and the optimal quantization interval of the quantizer Finally, the normalized correlation power of GPS L1 C / A signal under different filtering bandwidth and quantization bit number is simulated and analyzed by Monte Carlo method for the loss caused by filtering, sampling and quantization. Based on the simulation results Fitting methods for loss analysis expressions to simplify analysis.