Radar Ambiguity Function

In radar signal processing, the ambiguity function serves as a fundamental concept for evaluating signal resolution performance. It quantitatively characterizes the ambiguity level of radar signals, directly reflecting their clarity and measurement precision. When computing radar ambiguity functions, multiple signal factors must be accounted for including noise interference, signal attenuation, and Doppler effects. To achieve accurate results, various algorithmic approaches can be implemented: Digital filtering techniques (such as FIR/IIR filters) help mitigate noise and interference, while automatic gain control (AGC) algorithms enhance signal strength dynamically. Signal sampling and reconstruction methods (utilizing Nyquist theorem and interpolation algorithms) enable better analysis of signal characteristics. Key implementation considerations involve cross-correlation computations between transmitted and received signals, often optimized through Fast Fourier Transform (FFT) operations for efficient processing. The entire computation process requires integrated consideration of multiple technical factors - from window function selection for sidelobe suppression to matched filter design for optimal detection performance - ensuring reliable and precise ambiguity function results.