An implementation of Galactic white dwarf binary data analysis for
  MLDC-3.1
  The space-borne gravitational wave detectors will observe a large population
of double white dwarf binaries in the Milky Way. However, the search for double
white dwarfs in the gravitational wave data will be time-consuming due to the
large number of templates involved and antenna response calculation. In this
paper, we implement an iterative combinatorial algorithm to search for double
white dwarfs in MLDC-3.1 data. To quickly determine the rough parameters of the
target sources, the following algorithms are adopted in a coarse search
process: (1) using the downsampling method to reduce the number of original
data points; (2) using the undersampling method to speed up the generation of a
single waveform template; (3) using the stochastic template bank method to
quickly construct the waveform template bank while achieving high coverage of
the parameter space; (4) Combining the FFT acceleration algorithm with the
stochastic template bank to reduce the calculation time of a single template. A
fine search process is used to further determine the parameters of the signals
based on the coarse search, for which we adopt the Particle Swarm Optimization.
Finally, we detected $\mathcal{O}(10^4)$ double white dwarf signals, validating
the feasibility of our method.
