  Transient signals arising from instrumental or environmental factors,
commonly referred to as glitches, constitute the predominant background of
false alarms in gravitational wave searches with ground-based detectors.
Therefore, effective data analysis methods for vetoing glitch-induced false
alarms are crucial to enhancing the sensitivity of a search. We present a veto
method for glitches that impact matched filtering-based searches for binary
inspiral signals. The veto uses unphysical sectors in the space of chirp time
parameters as well as an unphysical extension including negative chirp times to
efficiently segregate glitches from gravitational wave signals in data from a
single detector. Inhabited predominantly by glitches but nearly depopulated of
genuine gravitational wave signals, these unphysical sectors can be efficiently
explored using Particle Swarm Optimization. In a test carried out on data taken
from both LIGO detectors spanning multiple observation runs, the veto was able
to reject $99.9\%$ of glitches with no loss of signals detected with
signal-to-noise ratio $\geq 9.0$ and total detector frame mass $\leq 80$
$M_\odot$. Our results show that extending a matched filter search to
unphysical parts of a signal parameter space promises to be an effective
strategy for mitigating glitches.
