YANG Jie, TU Hang, WANG Yi-xia. Adaptive Equalization Algorithm in Symbolic Level Based on LMS AlgorithmJ. Transactions of Beijing institute of Technology, 2017, 37(7): 753-757. DOI: 10.15918/j.tbit1001-0645.2017.07.018
Citation: YANG Jie, TU Hang, WANG Yi-xia. Adaptive Equalization Algorithm in Symbolic Level Based on LMS AlgorithmJ. Transactions of Beijing institute of Technology, 2017, 37(7): 753-757. DOI: 10.15918/j.tbit1001-0645.2017.07.018

Adaptive Equalization Algorithm in Symbolic Level Based on LMS Algorithm

  • In the CDMA systems with short spreading codes, multipath interference will seriously affect the performance of receivers. Especially when the multipath delay is long, interference will spread to disturb successive symbols and cause serious interference between users and symbols. A symbolic level adaptive equalization algorithm was proposed to improve the throughput of single iteration of equalization, almost without changing the bit error rate of receivers and computation complexity. The results of simulation and hardware test show that, the new algorithm effectively suppresses the inter-user interference and inter-symbol interference caused by multipath fading, and obviously improves the throughput of one single iteration equalization, and alleviates the constraint of delay to the convergence speed, which makes it much easier for engineering application.
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