m=0Nc1Sc02(fmfa)m=0Nc1Sc02(fmfa)Ss2(fm)Srecsk2(fm)Pn(fa), ]]> ;where Ktrn s/Ptrn son; Ptrn s is power of transmitter, radiating the connection signal, <mrow><msubsup><mi>S</mi><mrow><mi>c</mi><mn>0</mn></mrow><mn>2</mn></msubsup><mrow><mo>(</mo><mi>f</mi><mo>)</mo></mrow></mrow> - energy spectrum module of the radiated connection signal; <mrow><msubsup><mi>S</mi><mi>s</mi><mn>2</mn></msubsup><mrow><mo>(</mo><mi>f</mi><mo>)</mo></mrow></mrow> - energy spectrum module of the radiated sounding signal; <mrow><msubsup><mi>S</mi><mrow><mi>r</mi><mi>e</mi><mi>c</mi><mtext> </mtext><mi>s</mi><mi>k</mi></mrow><mn>2</mn></msubsup><mrow><mo>(</mo><mi>f</mi><mo>)</mo></mrow></mrow> - energy spectrum of the received sounding signal, calculated per FFT k output, Ns - the number of radiated connection signal spectrum components; fm - frequency of m-component of the radiated connection signal spectrum, Pn(f) - power of noise at the receiver input, calculated per output voltage of noise filter.;EFFECT: better assessment validity due to taking into account the individual features of communication channel.;2 dwg"/> SIGNAL/NOISE RATIO ASSESSMENT METHOD BASED ON RESULTS OF IONOSPHERE SOUNDING WITH CHIRPED SIGNALS
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SIGNAL/NOISE RATIO ASSESSMENT METHOD BASED ON RESULTS OF IONOSPHERE SOUNDING WITH CHIRPED SIGNALS

机译:基于信号的电声测深结果的信噪比评估方法

摘要

FIELD: radio engineering, communication.;SUBSTANCE: method involves of signal/noise ratio assessment within the frequency range of ΔFS based on the data of linear frequency modulation of ionosphere sounding. The latter comprises irradiation of continuous chirped signal by transmitter with power of Ptrn son, processing the signal in the receiver, heterodyning the signal using a converter and preliminary filtration in the frequency range from -ΔFpr/2 to ΔFpr/2, then the signal undergoes filtering with differential frequency filter, in the range from -ΔFfr/2 to ΔFfr/2. Afterwards, FFT is calculated, additionally, the output signal of converter is filtered using noise filter. After that, output of differential frequency filter is aligned by time to output of noise filter, using alignment device. Then output data of the latter and noise filter is transferred to the inputs of assessment device, which calculates the value of signal/noise ratio for frequency of analysis fa and FFT k output as per the following formula ; <mrow><msubsup><mi>h</mi><mi>k</mi><mn>2</mn></msubsup><mrow><mo>(</mo><mrow><msub><mi>f</mi><mi>a</mi></msub></mrow><mo>)</mo></mrow><mo>=</mo><mfrac><mrow><msub><mi>K</mi><mrow><mi>t</mi><mi>r</mi><mi>n</mi></mrow></msub></mrow><mrow><mn>2</mn><mstyle displaystyle="true"><munderover><mo>∑</mo><mrow><mi>m</mi><mo>=</mo><mn>0</mn></mrow><mrow><msub><mi>N</mi><mi>c</mi></msub><mo>−</mo><mn>1</mn></mrow></munderover><mrow><msubsup><mi>S</mi><mrow><mi>c</mi><mn>0</mn></mrow><mn>2</mn></msubsup><mrow><mo>(</mo><mrow><msub><mi>f</mi><mi>m</mi></msub><mo>−</mo><msub><mi>f</mi><mi>a</mi></msub></mrow><mo>)</mo></mrow></mrow></mstyle></mrow></mfrac><mfrac><mrow><mstyle displaystyle="true"><munderover><mo>∑</mo><mrow><mi>m</mi><mo>=</mo><mn>0</mn></mrow><mrow><msub><mi>N</mi><mi>c</mi></msub><mo>−</mo><mn>1</mn></mrow></munderover><mrow><mfrac><mrow><msubsup><mi>S</mi><mrow><mi>c</mi><mn>0</mn></mrow><mn>2</mn></msubsup><mrow><mo>(</mo><mrow><msub><mi>f</mi><mi>m</mi></msub><mo>−</mo><msub><mi>f</mi><mi>a</mi></msub></mrow><mo>)</mo></mrow></mrow><mrow><msubsup><mi>S</mi><mi>s</mi><mn>2</mn></msubsup><mrow><mo>(</mo><mrow><msub><mi>f</mi><mi>m</mi></msub></mrow><mo>)</mo></mrow></mrow></mfrac><msubsup><mi>S</mi><mrow><mi>r</mi><mi>e</mi><mi>c</mi><mtext> </mtext><mi>s</mi><mi>k</mi></mrow><mn>2</mn></msubsup><mrow><mo>(</mo><mrow><msub><mi>f</mi><mi>m</mi></msub></mrow><mo>)</mo></mrow></mrow></mstyle></mrow><mrow><msub><mi>P</mi><mi>n</mi></msub><mrow><mo>(</mo><mrow><msub><mi>f</mi><mi>a</mi></msub></mrow><mo>)</mo></mrow></mrow></mfrac><mo>,</mo></mrow> ;where Ktrn s/Ptrn son; Ptrn s is power of transmitter, radiating the connection signal, <mrow><msubsup><mi>S</mi><mrow><mi>c</mi><mn>0</mn></mrow><mn>2</mn></msubsup><mrow><mo>(</mo><mi>f</mi><mo>)</mo></mrow></mrow> - energy spectrum module of the radiated connection signal; <mrow><msubsup><mi>S</mi><mi>s</mi><mn>2</mn></msubsup><mrow><mo>(</mo><mi>f</mi><mo>)</mo></mrow></mrow> - energy spectrum module of the radiated sounding signal; <mrow><msubsup><mi>S</mi><mrow><mi>r</mi><mi>e</mi><mi>c</mi><mtext> </mtext><mi>s</mi><mi>k</mi></mrow><mn>2</mn></msubsup><mrow><mo>(</mo><mi>f</mi><mo>)</mo></mrow></mrow> - energy spectrum of the received sounding signal, calculated per FFT k output, Ns - the number of radiated connection signal spectrum components; fm - frequency of m-component of the radiated connection signal spectrum, Pn(f) - power of noise at the receiver input, calculated per output voltage of noise filter.;EFFECT: better assessment validity due to taking into account the individual features of communication channel.;2 dwg
机译:领域:方法:涉及基于电离层探测线性频率调制数据在ΔF S 频率范围内评估信噪比的方法。后者包括由发射器以P trn son 的功率照射连续的rp信号,在接收器中处理信号,使用转换器对信号进行外差处理,并在-ΔF的频率范围内进行初步滤波pr / 2到ΔF pr / 2,然后使用差分频率滤波器对信号进行滤波,范围从-ΔF fr / 2到ΔF fr / 2。之后,计算FFT,此外,使用噪声滤波器对转换器的输出信号进行滤波。之后,使用对准装置将差分滤波器的输出按时间对准噪声滤波器的输出。然后将滤波器和噪声滤波器的输出数据传送到评估装置的输入端,评估装置的信噪比值可以根据下式计算分析频率f a 和FFT k; <数学> <![CDATA [ h k 2 (< / mo> f a = < / mo> K t r n 2 m = 0 N c - 1 S c 0 < / mn> 2 f m f a < / mrow> m = 0 N c 1 S c 0 2 f m - f a S s 2 < msub> f m < mi> S r e c s < mi> k 2 f m P n f a ]]> ;其中K trn s / P trn子; P trn s 是发送器的功率,辐射连接信号 <![CDATA [ S c 0 2 f < mo>) ]]> <图像文件=“ 00000025.GIF” he =“ 7” imgContent =“ undefined” imgFormat =“ GIF” wi =“ 12 “ /> -辐射连接信号的能谱模块; <![CDATA [ S s 2 f ]]> <图像文件=“ 00000026.GIF” he =“ 7 “ imgContent =” undefined“ imgFormat =” GIF“ wi =” 9“ /> -辐射探测信号的能谱模块; <![CDATA [ S r e c s k 2 f ]]> <图像文件=“ 00000027.GIF” he =“ 7” imgContent =“未定义“ imgFormat =” GIF“ wi =” 15“ /> -接收到的探测信号的能量频谱,按FFT k输出计算,N s -辐射连接信号频谱分量的数量; f m -辐射连接信号频谱的m分量频率,P n (f)-接收器输入端的噪声功率,按噪声滤波器的每个输出电压计算。;效果:由于考虑了沟通渠道的个别特征,因此评估效果更好。; 2 dwg

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