量化误差分析与信号重建

针对航空航天和通信领域广泛存在的量化误差,以遥测信号为研究对象,提出了量化误差抑制的节省参数建模和时频分离方法,实现高精度的信号重建.首先分析等距节点样条模型和自由节点样条模型对带量化噪声信号重建的影响;其次研究量化噪声与信号的近似正交性,并建立节省参数模型,由数字信号恢复原始模拟信号.计算结果表明,观测数据通过节省参数建模和时频分离技术处理以后,信号估计的精度得到了有效地提高.

QUANTIZATION ERROR ANALYSIS AND SIGNAL RECONSTRUCTION

Quantization error is widely exist in the navigation and communication domain. This paper focuses on the quantization error analysis and signal reconstruction in telemetry domain. Based on the sparse parameterized model and time-frequency separation method, the technique for quantization error analysis is put forward. Firstly, the model selection effect based on equal-spaced and nonequal-spaced spline model is studied for signal noised by quantization error reconstruction respectively. Secondly, the approximately orthogonality between the quantization error and the signal is considered, and the sparse parameterized model of signal is constructed, then the signal is recovered from the noisy data. Finally, the results show that this algorithm can improve the signal estimation precision effectively.