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Impulse noise is generated by many house hold appliances that are attached to the electrical network. Its presence is often detrimental to the performance of a power line communication system, causing PHY throughput degradation in the order of 30-50%. The goal of impulse noise mitigation is to improve the SNR of the received signal by means of signal processing tools. In this work we focus on optimizing the detection of impulsive noises. A new method is developed for the setting of the detection threshold, that is both efficiently computed (in an iterative manner), and performs well in various impulsive noise conditions. Once impulses are detected they are removed from the received waveform by applying simple windowing mechanisms. To evaluate different impulse detection algorithms we test them against real life (impulsive) noise waveforms that have been captured on the power line. The selected algorithm is further validated on the power line against realtime captures of impulse noise impeded signals.

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In this paper, the SIR estimation for fast closed loop power control (CLPC) of WCDMA FDD downlink with space time transmit diversity (STTD) is analysed. It is shown that without STTD encoding / decoding of the DPCCH pilot symbols of the two antennas, the SIR estimation suffers from inter-antenna interference. Without modifying the DPCCH pilot patterns in the current 3GPP standard [3], near-hest performance is achieved by using all the pilot symbols for signal power estimation but only the STTD decoded shaded symbols for interference estimation, to avoid the inter-antenna interference.

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