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A comprehensive radar pipeline for precise distance and tracking analysis.
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Radar is designed to build an advanced radar pipeline that decodes burst data, estimates distance, speed, altitude, and identifies aircraft. With a focus on deterministic outcomes and a phased implementation strategy, this project promises to enhance tracking accuracy while adhering to stringent compliance checks.

Description

Overview

My-best-works is a comprehensive radar pipeline project designed to establish a robust radar processing system capable of decoding burst data, estimating distances, measuring speed and velocity, and identifying aircraft candidates. The project prioritizes a production-ready workflow, advancing in structured phases to ensure functional integrity at each step.

Objectives

The primary goal is to build an end-to-end radar pipeline that processes radar bursts into actionable outputs, allowing for:

  • The transformation of radar burst data into signal features.
  • The calculation of distance and velocity based on these features.
  • The tracking of moving objects and ranking of identified aircraft.

Implementation Plan

Stages of Development

This project is structured into defined phases, each focusing on critical technical objectives:

Phase A: Data Contract Stabilization

Ensure that every radar burst record contains adequate fields for reproducible distance estimation, implementing a strict payload schema and validation checks.

Phase B: Distance Estimation Engine

Develop a reliable mechanism to compute distances from incoming burst data with built-in quality metrics to validate accuracy.

Phase C: Speed and Velocity Estimation

Integrate systems for tracking speed based on recorded distance changes, incorporating filtering techniques to smooth results.

Phase D: Altitude Estimation

Create methods for calculating altitude through various means, including the utilization of additional sensor data for enhanced accuracy.

Phase E: Aircraft Identification and Ranking

Design a system for ranking potential aircraft candidates based on their kinematic profiles and known characteristics, providing confidence scores and rationale.

Phase F: API and Storage Integration

Integrate all components seamlessly to ensure cohesive data flow from raw input to identification output, solidifying the operational backbone of the system.

Phase G: Validation and Testing

Establish a suite of unit, integration, and regression tests to ensure reliability and stability of all outputs before production release.

Features

  • Data Processing: Ability to decode raw ADC values and compute distance based on multiple parameters such as waveBounceBackDurationSeconds.
  • Speed Metrics: Functionality to track radial speed and provide trajectory velocity estimates.
  • Aircraft Identification: Capability to generate a ranked list of aircraft candidates based on speed, altitude, and trajectory patterns.

Technical Constraints

The current implementation is contingent on establishing a full set of metadata fields from radar bursts to ensure accurate computations. Additionally, the system requires native integration for comprehensive data handling to transition from mock to production grades.

Summary

In summary, My-best-works aims to provide an extensive, functional radar pipeline capable of handling complex aviation tracking scenarios. Through this structured approach, the project seeks continual improvement and validation at each phase to deliver reliable outputs. This ambitious initiative combines progressive technology with practical testing frameworks to ensure high standards and effective results.

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