  In the upcoming years, with the upgrade of the LHC to higher luminosities,
CMS will be subject to an increasing flux of particles, especially in its most
forward region, at | \eta | > 1.6. To consolidate the muon spectrometer of CMS
and increase redundancy, the CMS GEM collaboration proposes to instrument the
1.6 < | \eta | < 2.1 region, originally foreseen to be equipped with RPC, with
Triple-GEM detectors. This technology has proven to remain efficient under high
fluxes and meets the requirements of CMS.
  This work, using simulations, studies three track reconstruction algorithms
intended to be installed in the first selection stage of CMS for Triple-GEM
detectors: a Least Squares fit, a standard Kalman filter, and a modified Kalman
filter. A comparative analysis is performed between the results obtained with
Triple-GEM detectors and those yielded by the actual system in order to
quantity the improvements made to the CMS muon spectrometer and to the CMS
trigger system.
