An Improved PMF-FFT Acquisition Algorithm Based on A&M Iterative Estimation and Amplitude Compensation
Year: 2026
Type: conference-paper
Abstract: To address the limitations of the conventional partial matched filter combined with fast Fourier transform (PMF-FFT) acquisition algorithm, where spectral leakage, the fence effect, and scalloping loss lead to restricted Doppler frequency offset estimation accuracy and low signal acquisition probability, this paper proposes a multi-dimensional jointly improved PMF-FFT acquisition algorithm. First, Hanning window weighting is applied to the output sequence of the PMF in the time domain to effectively suppress sidelobe interference and spectral leakage. Second, the Aboutanios and Mulgrew (A&M) iterative estimation algorithm is cascaded in the frequency domain to overcome the discrete frequency grid limitations of the FFT, thereby achieving high-precision Doppler frequency offset estimation. Finally, to counteract the mainlobe attenuation caused by windowing, a spectrum amplitude compensation mechanism is designed to perform a reverse correction of the detection signal-to-noise ratio (SNR), which mitigates the degradation of acquisition probability induced by scalloping loss. Simulation results demonstrate that without increasing the number of FFT points, the frequency offset estimation accuracy of the proposed algorithm more closely approaches the CRLB. Under the condition of a maximum frequency offset of 0.5 bins, the acquisition sensitivity of the system is improved by up to approximately 1.3 dB compared to the conventional algorithm.
Author: Ran Huang
Institution: Hezhou University
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7202118653