Performance of a linear frequency-modulated signal detection algorithm

The recently developed Radon-ambiguity transform algorithm detects linear frequency-modulated (LFM) signals with unknown center frequency, bandwidth, and duration. This paper provides simulations that demonstrate the ability of the algorithm to detect LFM signals in noise while also providing estimates of the signal sweep rate and duration. We augment the algorithm with a normalization step which enables the algorithm to reject wideband interference. Topics for future treatment are also discussed