Enhanced Transform-Domain LMS based Self-Interference Cancellation in LTE Carrier Aggregation Transceivers
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
International Conference on Computer Aided Systems Theory (EUROCAST 2019)
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
The transmitter (Tx) and the receiver (Rx) paths of a frequency division duplex (FDD) radio frequency (RF) transceiver employing carrier aggregation (CA) are connected via the duplexer to the common antenna. The limited Tx-Rx stop-band isolation of the duplexer leads to an unwanted signal leaking into the receiver, therefore called Tx leakage, which can generate interferences like modulated-spurs. This causes a deterioration of the signal-to-noise ratio (SNR) of the wanted signal. In this presentation we study the in?uence of the Long Term Evolution (LTE) uplink signal statistics on the adaptation speed of the LMS algorithm. In addition, we present a novel low-complexity algorithm for the digital cancellation of the modulated-spur interference. Tx data, serving as the input signal for the adaptive algorithm (transform-domain LMS), is pre-whitened and information of the transmit signal statistics is incorporated. This improves the adaptation speed of the algorithm, which is important for applications in RF transceivers because several parameters change frequently during operation