论文部分内容阅读
为提高船用雷达在海上复杂气象条件下的抗干扰性能,有效识别航道目标,克服通常小波雷达信号处理中小波选择的困难和多尺度分析的非实时性,提出根据学习雷达信号匹配构造与信号具有相似频谱特征的带限尺度函数和小波算法.通过一级分解和重构,实时提取信号中的有用模式.根据不同信号动态构造优化尺度和小波.在实际一维雷达信号处理中,构造出频带锁定学习雷达信号有效频段的带限尺度和小波.
In order to improve the anti-jamming performance of marine radars under complicated meteorological conditions at sea and to effectively identify the target of the waterway and to overcome the difficulties of wavelet selection and the non-real-time nature of multi-scale analysis in the conventional wavelet radar signal processing, Band-scale function and wavelet algorithm of similar spectral features.Using first-order decomposition and reconstruction, real-time extraction of useful patterns in the signal.On the basis of different signals, the optimal scale and wavelet are dynamically constructed.In the actual one-dimensional radar signal processing, the frequency band Locking the band limit scale and wavelet of effective frequency band of radar signal.