Comparative analysis of comprehensive parameters estimation algorithms for discontinuous signals in sensor networks

Wireless sensor networks are used to solve a wide range of problems. One of the key ones is the estimation of the parameters of the radiation source during the observation process, based on the measurements of these parameters, made by individual network sensors. In this case comprehensive parameter estimation algorithm for estimations made by individual sensors need to be developed. The efficiency of such algorithms, compared to existing analogues, can be increased due to the explicit consideration of the distribution of the target parameter estimate. The case in which sensors make estimates of a certain non-energy parameter for discontinuous signals in the presence and absence of interference in the communication channel \u201csensor \u2013 central node\u201d is considered. Two new algorithms for comprehensive estimation are presented. Their analysis was carried out using computer modeling, which made it possible to determine the conditional characteristics of the estimates: bias and dispersion. The obtained data allows identifying the operating conditions of the developed systems, which helps to achieve the required accuracy.