The extreme conditions that a launched projectile is subjected to require a multi-tiered approach to estimating its state variables and provide an adequate estimation in order to control the ballistic projectile with canards. Many studies have been directed at only solving these problems one at a time. The work seeks to explore the feasibility of incorporating these many different solutions into an integrated framework. The primary two considerations employed by this paper are the redundancy achieved by multiple sensors performing consensus and the estimation of the unknown gyro bias induced from the launch. In this way, the two major classes of errors, bias and precision, are addressed. The study shows that the integrated architecture does mitigate the effects on these errors but not eliminate them completely.