A decision theoretic approach for waveform design in joint radar communications applications

Waveform Codesign for Radar–Communication Spectral Coexistence via Dynamic Programming

“…A preliminary version of the parts of this article was published as [8]. This article differs from the conference article [8] in the following ways: 1) along with the previous numerical results in [8], we conduct an empirical study to assess the impact of the planning horizon H in the POMDP on the radar and communication performance and 2) we extend a new ADP approach RS-MHP [11], [12] to solve the waveform codesign problem and benchmark its performance against the NBO approach we previously used in [8].…”

“…For problems with dynamic performance requirements, long-term performance is critical as decisions (to choose a particular waveform) at the current time epoch may lead to regret in the future. To address these challenges, we develop an adaptive waveform design method for joint radar-communications systems based on the theory of partially observable Markov decision process (POMDP) [7], [8]. Specifically, we formulate the waveform design problem as a POMDP [8], after which the design problem becomes a matter of solving an optimization problem.…”

“…To address these challenges, we develop an adaptive waveform design method for joint radar-communications systems based on the theory of partially observable Markov decision process (POMDP) [7], [8]. Specifically, we formulate the waveform design problem as a POMDP [8], after which the design problem becomes a matter of solving an optimization problem. In essence, the POMDP solution provides us with the optimal decisions on the waveform design parameters [9].…”