A low complexity parameter estimation technique for LFMCW signals

Linear frequency modulated continuous waveform (LFMCW) is a modulation technique commonly used in bistatic radar systems due to its constant power and excellent range resolution. In this paper, we propose a method for estimating the parameters of an unknown LFMCW signal embedded in noise. The parameters to be estimated include sweep length, time offset, bandwidth, and center frequency. Unlike existing LFMCW parameter estimation techniques, which estimate the parameters jointly, the proposed method estimates the unknown parameters in a sequential order. As a result, it has a very low computational complexity. In addition, it does not require any prior information about the unknown parameters. This property together with its low complexity makes it a suitable candidate for real-time applications.

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