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This paper presents a baseband Digital PreDistortion (DPD) method for Power Amplifier (PA) linearization. It is based on the nonuniform Memory Polynomial (MP) model with direct learning architecture. The interpolated Look-Up Table (LUT) is adopted in the predistorter, to replace a part of the computational operations. The complex predistorted signal is calculated by two parts: one is the amplitude...
A new digital predistortion technique based on a direct learning architecture is proposed for linearising power amplifiers (PAs) with nonlinear memory effects. It is based on the non-uniform memory polynomial (MP) model and with a quadratically interpolated LUT. There are mainly two innovations. First, compared with the conventional MP model, the non-uniform MP model achieves the same modelling accuracy...
In this paper, we propose a new subspace-based approach for joint DOA-DOD estimation in the bistatic MIMO radar. This method use a polynomial root findings for determining jointly the DOA-DOD directions. This algorithm allows an efficient estimation of the target DOA and DOD with automatic pairing. The simulation results of the proposed algorithms are presented and the performances are investigated...
This paper deals with the linearization of power amplifier characteristics by digital predistortion technique. A new approach for the implementation of the memoryless digital predistorter (PD) is proposed. It consists on using a look-up-table with few entries corresponding to large step segmentation of the amplitude range of the baseband input signal. For every segment, a low order mapping polynomial...
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