A specific feature of aircraft and spacecraft flight modes is related to difficulties of obtaining information about dynamic characteristics of vehicles and their onboard equipment. The reason is that any transients are undesirable from the flight safety point of view and consequently they are damped by special onboard devices. At the same time, there is a practical necessity of obtaining such information as it is necessary for indication of occurrence of emergency situations in flight conditions. This information can be derived by solving systems of equations formed from the results of signal measurement. But, because of weak dynamism, the equation systems, as a rule, are ill-conditioned and traditional algorithms cannot be used. Therefore, the problem of their optimization is particularly important in conditions of deficiency of dynamism in the flight information. The possibility of using new information technologies for signal processing at the aircraft flight test stage is investigated. Since there are restrictions imposed on flight modes, the identification of parameters of aircraft and its equipment is carried out in the conditions of bad observability of the dynamic characteristics. It complicates the problem of ensuring the usability of computing algorithms for solving the systems of equations formed from the results of measurements of flight parameters. Therefore, the possibility of application of new information technologies for creation of algorithms with parallel structure is investigated. It will allow applying parallel computers and increasing the speed of information processing. The new information technologies are offered to be realized on the basis of symbolical combinatory computing models.