ローファーグラムでの平均処理利得の理論的検討
1994 年 21 巻 1 号 p. 35-43
詳細
1994 年 21 巻 1 号 p. 35-43
The LOFAR-Gram Which displays a result of spectrum analysis as time series is used to detect and classify target signals of the passive sonar. Signals-processing gain of frequency analysis is improved by narrowing the frequency bandwidth and by averaging (cumulatively processing) the results of frequency analysis in each observation time.
However, conventional averaging in LOFAR-Gram cannot increase processing gain sufficiently. In this paper, processing gain for delay type cross-spectrum method is described. This method increases the processing gain.
The effectiveness of this methods shown by the comparison with conventional auto-spectrum method.
