Target Tracking: Statistics of Successive Successful Target Detection in Automotive Radar Networks

TL;DR

This paper introduces a new metric called target tracking probability for automotive radar networks, analyzing its statistical properties and optimizing MAC protocols to improve successive target detection under interference.

Contribution

It presents the concept of tracking probability as a novel metric in stochastic geometry analysis and studies optimal MAC parameters for enhanced target tracking in vehicular environments.

Findings

Tracking probability differs from detection probability and is crucial for successive target detection.

Optimal MAC parameters for tracking may differ from those for detection.

The work links tracking success to QoS metrics like latency and reliability.

Abstract

We introduce a novel metric for stochastic geometry based analysis of automotive radar networks called target {\it tracking probability}. Unlike the well-investigated detection probability (often termed as the success or coverage probability in stochastic geometry), the tracking probability characterizes the event of successive successful target detection with a sequence of radar pulses. From a theoretical standpoint, this work adds to the rich repertoire of statistical metrics in stochastic geometry-based wireless network analysis. To optimize the target tracking probability in high interference scenarios, we study a block medium access control (MAC) protocol for the automotive radars to share a common channel and recommend the optimal MAC parameter for a given vehicle and street density. Importantly, we show that the optimal MAC parameter that maximizes the detection probability may not be the one that maximizes the tracking probability. Our research reveals how the tracking event can be naturally mapped to the quality of service (QoS) requirements of latency and reliability for different vehicular technology use-cases. This can enable use-case specific adaptive selection of radar parameters for optimal target tracking.