Particle Detection System Analysis in the Stratosphere Using High-Altitude Platforms Based on a MMPP-2 Model

Area of Science:

• Atmospheric science
• Aerospace engineering
• Environmental monitoring

Background:

• High-Altitude Platforms (HAPs) are crucial for stratospheric contaminant measurement.
• Existing HAP missions lack performance analysis for sensor energy use and experimental efficiency.
• Limited energy resources and payload weight constraints necessitate pre-mission feasibility assessments.

Purpose of the Study:

• To develop a mathematical framework for analyzing HAP sensor system energy consumption.
• To estimate the number of particles detectable by HAP-based experiments.
• To evaluate the overall performance and feasibility of stratospheric contaminant detection systems.

Main Methods:

• Mathematical analysis of energy consumption based on potential trajectories and particle density.
• Development of a sensor performance estimation model.
• Application of a Markov Modulated Poisson Process (MMPP-2) with exponential distribution assumptions.

Main Results:

• Provides a method to determine energy consumption for HAP measurement systems.
• Estimates the number of detectable particles, indicating sensor system performance.
• Establishes a foundational model for future extensions and analyses.

Conclusions:

• The proposed analysis is essential for assessing the feasibility of HAP contaminant detection missions.
• Understanding energy consumption and sensor efficiency is critical for mission success.
• The MMPP-2 model offers a scalable approach for future research in HAP-based environmental monitoring.