Direct relationship between information-theoretic sensing metrics and radar estimation performance in coexistence designs

Establish a straightforward and explicit relationship linking the information-theoretic sensing metrics used in radar–communications coexistence waveform design (such as mutual information, capacity, signal-to-interference-and-noise ratio, or radar estimation rate) to the actual radar estimation performance for target parameter inference (e.g., estimation error or accuracy), so that sensing design objectives directly reflect estimation outcomes.

Background

The paper reviews radar–communications coexistence waveform design, noting that many approaches optimize information-theoretic metrics such as mutual information, capacity, SINR, and estimation rate to balance radar and communication performance. However, these metrics are not always directly tied to practical estimation outcomes for radar target parameters, creating a gap between optimization objectives and sensing performance.

The authors explicitly state that connecting these metrics to actual estimation performance remains unresolved, highlighting the need for a principled bridge that maps optimization criteria to estimation accuracy.