Adaptive decision feedback equalizer (ADFE) based on Least Mean square algorithm (LMS) has emerged as a novel tool for signal propagation without noise. However, it has the limitation of computational complexity. Since it has been reported that substantial echo cancellation leads to increased system quality and capacity, this paper proposes a dynamic LMS-based ADFE (DLMS-ADFE) to cancel the generation of the echo signal. The DLMS-ADFE has two dynamic principles in updating the coefficients. The first principle has varying step-size and the second principle has varying degree and magnitude of the signal. The comparison results show that the DLMS-ADFE is outperforming LMS-ADFE.
AustinME (1967) Decision feedback equalization for digital communication over dispersive channels, M.I.T./R.L.E. Tech. Rep. 46.
2.
AwamiATAZerguineAChededL. (2011) A new modified particle swarm optimization algorithm for adaptive equalization. Digital Signal Processing21(2): 195–207.
3.
ChaoDRuLJKaiN. (2012) Frequency domain decision feedback equalizer for time-reversal space-time block coding. The Journal of China Universities of Posts and Telecommunications19(1): 38–43.
4.
DhahirNACioffiJ (1995) MMSE decision-feedback equalizers: finite-length results. IEEE Information Theory Society41(4): 961–975.
5.
FarukMSKikuchiK (2011) Adaptive frequency-domain equalization in digital coherent optical receivers. Optics Express19(13): 12789–12798.
6.
GaoYZhangFDouL. (2009) Intra-channel nonlinearities mitigation in pseudo-linear coherent QPSK transmission systems via nonlinear electrical equalizer. Optics Communications282(12): 2421–2425.
7.
GhauriSAAdeeHButtMSRArslanM (2013) Adaptive Decision feedback equalizer (ADFE), International Journal of Computer and Electronics Research2(4): 490–493.
JungLL (1977) Analysis of recursive stochastic algorithms. IEEE Transactions on Automatic Control22(4): 551–575.
12.
KennedyJEberhartR (1995) Particle swarm optimization. In: International Conference on Neural Networks (4), pp. 1942–1948. Perth, WA: IEEE International Conference on Neural Networks.
13.
KofidisERontogiannisAARizogiannisC (2012) Adaptive BLAST-type decision-feedback equalizers for DS-CDMA systems. Signal Processing92 (4): 977–988.
14.
KrusienskiDJJenkinsWK (2004) The application of particle swarm optimization to adaptive II R phase equalization. In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2), pp. 693–696.
15.
LiuHLi (2008) Particle swarm optimization-based multi user detection for receive-diversity-aided STBC systems. IEEE Signal Processing Letters15(3): 29–32.
16.
LjungLMorfMFalconerD (1978) Fast calculation of gain matrices for recursive estimations. International Journal of Control27(1): 1–19.
17.
MaitiDPearceMBBrownCL (2015) Modified nonlinear decision feedback equalizer for long-haul fiber-optic communication. Journal of Light Wave Technology33(18): 3763–3772.
18.
MarcosSMacchiO (1892) Joint adaptive echo cancellation and channel equalization for data transmission. Signal Processing20: 43–65, 1990.
19.
MesserschmitDG (1984) Echo cancellation in speech and data transmission. IEEE Journal on Selected Areas in Communications2(2): 283–297.
20.
MorraHHESheikhAUZerguineA (2006) Application of heuristic algorithms for multi user detection. In: 2006 IEEE International Conference on Communications, Istanbul, 2006, pp. 3157–3161.
21.
PanJChengCH (2011) Wiener-Hammerstein model based electrical equalizer for optical communication systems. Journal of Light Wave Technology29(16): 2454–2459.
22.
RamamurthyBCowleyWG (2013) An adaptive symbol-spaced equalizer to compensate analog imperfections. Digital Signal Processing23(2): 627–634.
23.
RosenkranzWXiaC (2007) Electrical equalization for advanced optical communication systems. AEU - International Journal of Electronics and Communications61(3): 153–157.
24.
ScheetsGSinghRParperisM (2002) Analyzing end-to-end delivery delay in pure VoIP networks. In: The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002., 2002, vol. 2, pp. II-517–II-520.
25.
SondhiMMBerkleyDA (1980) Silencing echoes on telephone network. In: Proceedings of the IEEE, August 1980, vol. 68, no. 8, pp. 948–963.
26.
WidrowB. (1976) Stationary and nonstationary learning characteristics of LMS adaptive filters. Ptuc. IEEE64(8): 1151.
27.
WidrowBMcCoolJMLarimoreMG. (1976) Stationary and nonstationary learning characteristics of the LMS adaptive filter. Proceedings of the IEEE64(8): 1151–1162.
28.
YamamotoSNozawaTAizawaT. (1979) An adaptive echo canceler with liner predictor. Trans. IElCE Japan, 62(12): 851.
