Phase Noise Simulation Model for Pulse Doppler Radar
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Solution Overview
Problem
Pulse Doppler radar systems face challenges in accurately detecting targets due to the impact of phase noise, which is not well understood by operators and maintainers, leading to compromised system performance and reduced detection capabilities, especially in clutter environments.
Innovation Solution
A computer modeling system is developed to analyze the effect of phase noise on radar system performance, allowing for the calculation of phase noise impact at various carrier offset frequencies and enabling the design and configuration of radar systems to minimize phase noise effects by comparing different component configurations, such as oscillators, and providing visual or auditory alerts when phase noise exceeds acceptable levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If phase noise is reduced to improve target detection, then detection precision is improved, but system complexity increases due to the need for multiple component configurations and modeling analysis
Solution Approach 1:
The patent applies preliminary action by creating a phase noise simulation model before actual radar operation to predict and compare the effects of different oscillator configurations. This allows designers to identify the optimal configuration that minimizes phase noise impact on target detection without having to physically test multiple configurations, thus improving detection precision while avoiding the complexity of implementing and testing multiple physical systems.
2Reliability
If multiple component configurations are analyzed to minimize phase noise, then system reliability is improved, but time consumption increases due to iterative modeling and comparison
Solution Approach 1:
The patent applies copying by creating virtual models (simulations) of different radar system configurations with varying oscillator characteristics. Instead of physically building and testing multiple configurations, the invention uses computational models to copy and analyze different system variants, enabling reliable comparison of phase noise effects across multiple configurations significantly faster than physical prototyping would allow.
3Measurement precision
If phase noise simulation modeling is implemented to improve detection capabilities, then detection precision is improved, but computational resources increase
Solution Approach 1:
The patent applies parameter changes by systematically varying oscillator parameters (such as phase noise characteristics, frequency stability) in the simulation model to observe their impact on target detection. By changing only the relevant parameters in the computational model rather than entire system configurations, the invention achieves improved detection precision through efficient parameter sweeps that consume fewer computational resources than full-system simulations.
Data Source
AI summary
Method for generating a model of the effect of phase noise during use of a Doppler radar system including calculating, using a processor, an initial signal-to-clutter ratio (SCR) representing a ratio of power received from echoes from a target by the radar system to power resulting from clutter reflection received by the radar system. The initially calculated SCR is modified as a function of a range ambiguity and range resolution. A Doppler frequency of interest is calculated based on velocity of a target, target heading and radar frequency, along with a Doppler filter bandwidth, frequency components and a measure of clutter signal passing through the Doppler filter of interest by summing products of the phase noise for each frequency by the Doppler filter bandwidth. This measure indicates effectiveness of target detection by the Doppler radar system as a function of distance.