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The nonlinear distortion caused by Power Amplifier (PA) nonlinearity distorts the constellation and degrades the Bit Error Rate (BER) performance of 60 GHz millimeter wave (mmWave) Wireless Local Area Network (WLAN) easily, due to the huge bandwidth and high Equivalent Isotropic Radiated Power (EIRP), especially for Quadrature Amplitude Modulation (QAM) signals. This paper aims at Data-Aided (DA) Distorted Constellation (DC) estimation and demodulation to resist PA nonlinearity. A Maximum Likelihood (ML) estimation algorithm is proposed, and the corresponding Cramer-Rao Lower Bounds (CRLBs) are computed.
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