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A method for detecting and suppression of interference signals in sar - data and device for carrying out the method

机译:一种sar数据中干扰信号的检测与抑制方法及实现该方法的装置

摘要

For the detection and suppression of interference signals in sar - data are raw data of a sar - sensor dollar i1 removal lines manner in the frequency range fourier - and the resulting spectrum of dollars i2 in accordance with the bandwidth of the transmitted signal is low-pass filtered. It is, the autocorrelation function of dollars i3 of the low-pass filtered signal u φ t φ (t) and determined by means of the weighting function w (t), the proportions of the useful signal in of the autocorrelation function of dollars i4 suppressed; thus, the interference signal is amplified in the ratio for this purpose. Dollars a subsequently, the power density spectrum of the resulting signal dollar i5 and by means of the madmed - function, a threshold value m calculated from the power density spectrum dollar i6. From the power density spectrum dollar i7, a perfect notch - filters (w φ nideal φ (f) and calculated by weighting of the impulse response of the notch - filter (w φ nideal φ) (t) with a kaiser - bessel - window w φ f φ (t) in the time domain and subsequent inverse transformation into the frequency range, the final notch - filters (w φ n φ (f) is generated, which then to the radar signal u φ t φ (f) is applied. This is the fourier - reverse transformation of the radar signal dollar i8 in the time domain and finally, the disturbance radar signal is generated which has been freed of usd i9.
机译:为了检测和抑制sar中的干扰信号-数据是sar-传感器美元i1去除线方式在傅立叶频率范围内的原始数据-根据发射信号的带宽,美元i2的最终频谱很低-通过过滤。就是说,低通滤波信号uφtφ(t)的美元i3的自相关函数,并通过加权函数w(t)来确定,有用信号在美元i4的自相关函数中所占的比例压抑因此,为此目的,干扰信号按比例放大。随后,美元a,得到的信号美元i5的功率密度谱,并通过madmed-函数,从功率密度谱美元i6计算出阈值m。根据功率密度频谱美元i7,可以得到一个理想的陷波滤波器(wφnidealφ(f)),并通过对带有一个kaiser-贝塞尔-窗的陷波滤波器(wφnidealφ)(t)的脉冲响应进行加权来计算。在时域中wφfφ(t)以及随后的逆变换到频率范围内,生成最终的陷波滤波器(wφnφ(f),然后将其作为雷达信号uφtφ(f)为这是雷达信号美元i8在时域中的傅立叶-逆变换,最后生成了不受美元i9干扰的雷达信号。

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