2026-10-10T10:17:45Z https://www.scidb.cn/oai

10.57760/sciencedb.space.03791 2026-07-27T10:20:37Z

2026-07-27 Simulation Dataset for Performance Comparison of Multi-PRF Multi-Target Range Ambiguity Resolution Algorithms doi:10.57760/sciencedb.space.03791 en This dataset is a MATLAB simulation dataset for the multi PRF multi-objective distance deblurring algorithm, mainly used to support the performance comparison analysis of different deblurring methods in the paper. The dataset is generated based on multiple PRF pulse Doppler radar range deblurring simulation scenarios, including uniform random target distribution and sparse dense mixed target distribution in multi-target scenarios. During the simulation process, the maximum unambiguous distance corresponding to different PRFs is first set, and multiple real targets are generated within the given detection distance range; Subsequently, a candidate target point set is constructed based on the apparent distance under each PRF, and ranging errors of different amplitudes are added to simulate actual measurement conditions. The data set compared the deblurring performance of the fixed sliding window width method and the adaptive sliding window method under different target distributions, ranging errors, and target quantities. The data file mainly includes performance statistics obtained from various Monte Carlo simulation experiments, algorithm performance comparison charts, and related graphical results. The evaluation indicators include probability of discovery, false detection rate, probability of completely correct ambiguity resolution, and root mean square error. This dataset can be used to reproduce experimental results, verify the performance of multiple PRF multi-target distance deblurring algorithms, and support comparative research on related radar signal processing methods.  simulation; dataset; Pulse-Doppler Liu Na PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank