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In the given text, the CFAR fusion detection program example is mentioned and further details on the same can be found in the book titled "Heng Xu Jing Jian Ce Lue" by He You.
It is important to note that CFAR, or Constant False Alarm Rate, is a commonly used algorithm in radar signal processing that helps in detecting targets against a background of noise. The CFAR algorithm works by estimating the noise level and then comparing the received signal to this noise level. If the signal exceeds the noise level by a certain threshold, it is flagged as a target. However, since the noise level can vary across different regions, the CFAR algorithm uses a sliding window approach to estimate the noise level locally. This helps in achieving a constant false alarm rate, which is crucial in many radar applications.
In summary, the CFAR fusion detection program is an important algorithm in radar signal processing that helps in detecting targets against a background of noise. Further details on the same can be found in the book titled "Heng Xu Jing Jian Ce Lue" by He You.