Abstract

The constant information radar, or CIR, is a tracking radar that modulates target revisit time by maintaining a fixed mutual information measure. For highly dynamic targets that deviate significantly from the path predicted by the tracking motion model, the CIR adjusts by illuminating the target more frequently than it would for well-modeled targets. If SNR is low, the radar delays revisit to the target until the state entropy overcomes noise uncertainty. As a result, we show that the information measure is highly dependent on target entropy and target measurement covariance. A constant information measure maintains a fixed spectral efficiency to support the RF convergence of radar and communications. The result is a radar implementing a novel target scheduling algorithm based on information instead of heuristic or ad hoc methods. The CIR mathematically ensures that spectral use is justified.

Highlights

  • The CIR was introduced in our prior work [1] in the pursuit of theoretical information bounds on the performance for joint radar-communications systems [2,3,4,5,6,7,8]

  • This is achieved by fixing the mutual information value for the target tracking scenario, while modulating the target revisit time, and the CIR naturally arose from this method of joint operation

  • In our earlier work [1], we introduced the concept of maintaining constant information as a radar resource management method

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Summary

Introduction

The CIR was introduced in our prior work [1] in the pursuit of theoretical information bounds on the performance for joint radar-communications systems [2,3,4,5,6,7,8]. In this body of work, the estimation rate, a measure of radar tracking information as a function of time, was defined. This is achieved by fixing the mutual information value for the target tracking scenario, while modulating the target revisit time, and the CIR naturally arose from this method of joint operation

Background
Contributions
Radar Tracking and Measurement Model
Target Motion Model
Target Measurement Model
Target Tracking Information
Radar Estimation Rate
Target Predicted Information
Revisit Time Modulation
Model Mismatch
Signal-to-Noise Ratio
Examples
Conclusions
Full Text
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