A generic method for remote sensing satellites conceptual design and rapid sizing based on "design for performance" strategy

Some fundamental and unique characteristics of space are (1) global perspective, (2) above the atmosphere, (3) gravity-free environment, (4) abundant resources, and (5) exploration of space itself. If the mission doesn't rely on some fundamental and unique characteristics of space, it will likely cost more to do in space than in air or on Earth [1]. On the other hand, design of complex systems like satellites involves selecting design parameters (DPs) to satisfy the required constraints while meeting desired performance objectives. These parameters are often coupled, and their relationships not easily understood, and it makes the design an iterative process with high complexity [2]. But in spite of high costs and complexities, demands for space missions are increasing, so space missions inevitably must be engineered in such a way that the users' needs be met better, cheaper, faster, and with less risk than before. That is the reason why more research is required to improve the space missions engineering process.