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In Section 2, we discuss the system and signal models.

We derived statistical signal models of RF impairments, and based on the statistical signal models, we designed estimators of RF impairments.

Until now, simplistic CP-OFDM signal models have been used as the PU and CR signal models for spectrum allocation algorithms [23 26, 29 32].

Measurement campaigns are essential for calibrating signal models and testing localization algorithms.

Thus, the received signal models for the different 2D antenna arrays structures are presented.

In Section 2, four basic emitting signal models of MIMO radar are given.

In sensor networks (row 13), both deterministic and stochastic signal models are employed.

The algorithms were designed for linear time-invariant state-space signal models with white Gaussian noise.

Section 2 generalizes the scenario's system and signal models in the IA scheme and multiplex scheme.

In "Signal models" section, we compare the analytical FMCW SAIR PTRS with the conventional ones.

Mnimax L2-E2 filterlter (MLEFF) is proposed for deterministic continuous-time state space signal models.

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