Performance analysis of the low‐complexity adaptive channel estimation algorithms over non‐stationary multipath Rayleigh fading channels under carrier frequency offsets
The use of selective partial updating method for reducing computational complexity of adaptive algorithms has been proposed recently. However, its performance analysis has not been studied as extensively and exactly as LMS or RLS algorithms for time‐varying channel estimation. This paper provides pe...
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| Published in: | IET communications Vol. 16; no. 9; pp. 988 - 1004 |
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| Format: | Journal Article |
| Language: | English |
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01.06.2022
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| ISSN: | 1751-8628, 1751-8636 |
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| Abstract | The use of selective partial updating method for reducing computational complexity of adaptive algorithms has been proposed recently. However, its performance analysis has not been studied as extensively and exactly as LMS or RLS algorithms for time‐varying channel estimation. This paper provides performance analysis of the low‐complexity family of affine projection algorithms based on selective partial update method on the estimation of multipath Rayleigh fading channels in the presence of carrier frequency offsets (CFO) and random channel variations. The analysis is based on the calculation of the error correlation matrix of the estimation, the mean‐square weight error (MSWE) and the mean‐square estimation error (MSE) parameters. The analysis does not use strong assumptions like small or large step‐size, and explicit closed‐form expressions for the MSE of estimation are obtained only from common hypotheses in wireless communication context. In this paper, the optimum step‐size parameters minimizing the MSE of estimation are analytically derived without any simplifying assumptions. For the sake of comparison with other analytical approaches, the performance of the introduced algorithms is also investigated using the energy conservation relation. Likewise, for exact performance analysis, all the moment terms that appear in closed form expressions for the MSE of estimation are evaluated. Simulations are conduced to corroborate the presented studies and show that the theoretical results agree well with the simulation results over non‐stationary multipath Rayleigh fading channels. |
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| AbstractList | The use of selective partial updating method for reducing computational complexity of adaptive algorithms has been proposed recently. However, its performance analysis has not been studied as extensively and exactly as LMS or RLS algorithms for time‐varying channel estimation. This paper provides performance analysis of the low‐complexity family of affine projection algorithms based on selective partial update method on the estimation of multipath Rayleigh fading channels in the presence of carrier frequency offsets (CFO) and random channel variations. The analysis is based on the calculation of the error correlation matrix of the estimation, the mean‐square weight error (MSWE) and the mean‐square estimation error (MSE) parameters. The analysis does not use strong assumptions like small or large step‐size, and explicit closed‐form expressions for the MSE of estimation are obtained only from common hypotheses in wireless communication context. In this paper, the optimum step‐size parameters minimizing the MSE of estimation are analytically derived without any simplifying assumptions. For the sake of comparison with other analytical approaches, the performance of the introduced algorithms is also investigated using the energy conservation relation. Likewise, for exact performance analysis, all the moment terms that appear in closed form expressions for the MSE of estimation are evaluated. Simulations are conduced to corroborate the presented studies and show that the theoretical results agree well with the simulation results over non‐stationary multipath Rayleigh fading channels. Abstract The use of selective partial updating method for reducing computational complexity of adaptive algorithms has been proposed recently. However, its performance analysis has not been studied as extensively and exactly as LMS or RLS algorithms for time‐varying channel estimation. This paper provides performance analysis of the low‐complexity family of affine projection algorithms based on selective partial update method on the estimation of multipath Rayleigh fading channels in the presence of carrier frequency offsets (CFO) and random channel variations. The analysis is based on the calculation of the error correlation matrix of the estimation, the mean‐square weight error (MSWE) and the mean‐square estimation error (MSE) parameters. The analysis does not use strong assumptions like small or large step‐size, and explicit closed‐form expressions for the MSE of estimation are obtained only from common hypotheses in wireless communication context. In this paper, the optimum step‐size parameters minimizing the MSE of estimation are analytically derived without any simplifying assumptions. For the sake of comparison with other analytical approaches, the performance of the introduced algorithms is also investigated using the energy conservation relation. Likewise, for exact performance analysis, all the moment terms that appear in closed form expressions for the MSE of estimation are evaluated. Simulations are conduced to corroborate the presented studies and show that the theoretical results agree well with the simulation results over non‐stationary multipath Rayleigh fading channels. The use of selective partial updating method for reducing computational complexity of adaptive algorithms has been proposed recently. However, its performance analysis has not been studied as extensively and exactly as LMS or RLS algorithms for time‐varying channel estimation. This paper provides performance analysis of the low‐complexity family of affine projection algorithms based on selective partial update method on the estimation of multipath Rayleigh fading channels in the presence of carrier frequency offsets (CFO) and random channel variations. The analysis is based on the calculation of the error correlation matrix of the estimation, the mean‐square weight error (MSWE) and the mean‐square estimation error (MSE) parameters. The analysis does not use strong assumptions like small or large step‐size, and explicit closed‐form expressions for the MSE of estimation are obtained only from common hypotheses in wireless communication context. In this paper, the optimum step‐size parameters minimizing the MSE of estimation are analytically derived without any simplifying assumptions. For the sake of comparison with other analytical approaches, the performance of the introduced algorithms is also investigated using the energy conservation relation. Likewise, for exact performance analysis, all the moment terms that appear in closed form expressions for the MSE of estimation are evaluated. Simulations are conduced to corroborate the presented studies and show that the theoretical results agree well with the simulation results over non‐stationary multipath Rayleigh fading channels. |
| Author | Hosseini, S. Abolfazl Hadei, Sayed A. Miri, Mohammadhasan |
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| Cites_doi | 10.1109/TSP.2019.2896133 10.1109/26.974267 10.1109/TSP.2010.2052359 10.1109/26.975781 10.1109/TSP.2002.1011194 10.1109/CTS.2011.5898946 10.1109/26.650219 10.1109/ICASSP.1996.543554 10.1109/ICASSP.1997.604754 10.1109/TCSII.2019.2897620 10.1002/ecja.4400670503 10.1109/LSP.2018.2880084 10.1109/TAES.2019.2906418 10.1017/CBO9780511841224 10.1109/TVT.2020.3020946 10.1109/TSP.2003.820077 10.1109/TCOMM.2009.02.060065 10.1109/TCSII.2019.2929536 10.1109/82.959866 10.1109/LSP.2019.2929874 10.1109/CSNDSP.2018.8471844 10.1002/9780470374122 10.1109/TASLP.2019.2949928 10.1109/AICT.2010.85 10.1109/TSP.2004.823483 10.1109/ISIT.2009.5205261 10.1561/9781933019505 |
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| References | 1984; 67‐A 2010; 58 2011 2002; 50 2019; 55 2010 1997; 45 2008 1997 1975 1996 2007 2005 2001; 48 2001; 49 2004 1992 2004; 52 2009; 57 2001 2019; 66 2019; 68 2019; 67 2019; 26 2019; 28 1985 2018 2020; 69 1984 2020; 67 1981 2009; 3 1996; 2 e_1_2_10_23_1 e_1_2_10_24_1 Xiang M. (e_1_2_10_14_1) 2019; 68 e_1_2_10_21_1 e_1_2_10_22_1 Goodwin G.C. (e_1_2_10_27_1) 1984 e_1_2_10_20_1 Proakis J.G. (e_1_2_10_2_1) 2008 Karlin S. (e_1_2_10_31_1) 1981 e_1_2_10_4_1 e_1_2_10_18_1 e_1_2_10_19_1 e_1_2_10_6_1 e_1_2_10_16_1 e_1_2_10_5_1 e_1_2_10_17_1 e_1_2_10_38_1 e_1_2_10_37_1 e_1_2_10_7_1 e_1_2_10_15_1 e_1_2_10_36_1 e_1_2_10_12_1 e_1_2_10_35_1 e_1_2_10_13_1 e_1_2_10_34_1 e_1_2_10_10_1 e_1_2_10_11_1 e_1_2_10_32_1 Zhao H. (e_1_2_10_25_1) 2020; 67 Widrow B. (e_1_2_10_8_1) 1985 Haykin S. (e_1_2_10_9_1) 1996 Rappaport T.S. (e_1_2_10_3_1) 2001 Steele R. (e_1_2_10_33_1) 1992 Gradshteyn I.S. (e_1_2_10_39_1) 2007 Karlin S. (e_1_2_10_30_1) 1975 e_1_2_10_29_1 e_1_2_10_28_1 e_1_2_10_26_1 |
| References_xml | – year: 1985 – start-page: 21 year: 1997 end-page: 24 – start-page: 339 year: 2011 end-page: 345 – volume: 66 start-page: 2087 issue: 12 year: 2019 end-page: 2091 article-title: Affine‐projection‐like M‐estimate adaptive filter for robust filtering in impulse noise publication-title: IEEE Trans. Circuits Syst. II: Exp. Briefs – year: 1981 – volume: 67‐A start-page: 19 issue: 5 year: 1984 end-page: 27 article-title: An adaptive filtering algorithm using an orthogonal projection to an affine subspace and its properties publication-title: Election. Commun. Jpn – year: 2005 – volume: 57 start-page: 562 issue: 2 year: 2009 end-page: 572 article-title: How much does transmit correlation affect the sum‐rate if MIMO downlink channels? publication-title: IEEE Trans. Commun. – start-page: 201 year: 2010 end-page: 206 – year: 2001 – volume: 58 start-page: 5080 issue: 10 year: 2010 end-page: 5090 article-title: Exact performance analysis of the ε‐NLMS algorithm for colored circular Gaussian inputs publication-title: IEEE Trans. Signal Process. – year: 2007 – volume: 69 start-page: 087 issue: 11 year: 2020 end-page: 097 article-title: Efficient DOA estimation method using bias‐compensated adaptive filtering publication-title: IEEE Trans. Vehicular Technology – year: 1996 – volume: 55 start-page: 3347 issue: 6 year: 2019 end-page: 3364 article-title: Theoretical performance of low rank adaptive filters in the large dimensional regime publication-title: IEEE Trans. Aerospace Electron. Syst. – volume: 3 start-page: 1744 year: 2009 end-page: 1748 – year: 1975 – volume: 26 start-page: 1315 issue: 9 year: 2019 end-page: 1319 article-title: Complex‐valued nonlinear adaptive filters with applications in α‐stable environments publication-title: IEEE Signal Process. Lett. – year: 1992 – volume: 45 start-page: 1497 year: 1997 end-page: 1500 article-title: Tap‐ selectable decision feedback equalization publication-title: IEEE Trans. Commun. – volume: 68 start-page: 65 issue: 1 year: 2019 end-page: 80 article-title: Performance analysis of deficient length quaternion least mean square adaptive filters publication-title: IEEE Trans. Signal Process. – year: 1984 – volume: 49 start-page: 2207 issue: 12 year: 2001 end-page: 2217 article-title: Tracking of time‐varying mobile radio channels ‐ Part I: The Wiener LMS algorithm publication-title: IEEE Trans. Commun. – volume: 67 start-page: 1154 issue: 6 year: 2020 end-page: 1158 article-title: Steady‐state performance analysis of nonlinear spline adaptive filter under maximum correntropy criterion publication-title: IEEE Trans. Circuits Syst. II: Exp. Briefs – volume: 67 start-page: 4795 issue: 11 year: 2020 end-page: 4810 article-title: Variable step‐size affine projection maximum correntropy criterion adaptive filter with correntropy induced metric for sparse system identification publication-title: IEEE Trans. Circuits Syst. II: Exp. Briefs – volume: 26 start-page: 74 issue: 1 year: 2019 end-page: 78 article-title: Exact expectation evaluation and design of variable step‐size adaptive algorithms publication-title: IEEE Signal Process. Lett. – volume: 50 start-page: 156 issue: 1 year: 2002 end-page: 167 article-title: Tracking of time‐varying mobile radio channels ‐ Part II: A case study publication-title: IEEE Trans. Commun. – year: 2008 – volume: 67 start-page: 1785 issue: 7 year: 2019 end-page: 1796 article-title: A unified approach to the statistical convergence analysis of frequency‐domain adaptive filters publication-title: IEEE Trans. Signal Process. – volume: 52 start-page: 938 issue: 4 year: 2004 end-page: 948 article-title: Partial‐update NLMS algorithms with data‐selective updating publication-title: IEEE Trans. Signal Process. – year: 2004 – volume: 2 start-page: 1093 year: 1996 end-page: 1096 – start-page: 201 year: 2018 end-page: 206 – volume: 50 start-page: 1533 issue: 7 year: 2002 end-page: 1544 article-title: Ability of adaptive filters to track carrier offsets and channel nonstationarities publication-title: IEEE Trans. Signal Process. – volume: 52 start-page: 90 issue: 1 year: 2004 end-page: 102 article-title: Mean‐square performance of a family of affine projection algorith publication-title: IEEE Trans. Signal Process. – volume: 48 start-page: 762 issue: 8 year: 2001 end-page: 769 article-title: Adaptive filtering algorithms with selective partial updates publication-title: IEEE Trans. Circuits Syst. II – volume: 28 start-page: 240 year: 2019 end-page: 255 article-title: A partial update adaptive algorithm for sparse system identification publication-title: IEEE Trans. Audio Speech Language Process. – ident: e_1_2_10_23_1 doi: 10.1109/TSP.2019.2896133 – ident: e_1_2_10_15_1 doi: 10.1109/26.974267 – ident: e_1_2_10_37_1 doi: 10.1109/TSP.2010.2052359 – volume-title: Mobile Radio Communications year: 1992 ident: e_1_2_10_33_1 – ident: e_1_2_10_16_1 doi: 10.1109/26.975781 – ident: e_1_2_10_7_1 doi: 10.1109/TSP.2002.1011194 – ident: e_1_2_10_21_1 doi: 10.1109/CTS.2011.5898946 – volume-title: A Second Course in Stochastic Processes year: 1981 ident: e_1_2_10_31_1 – volume-title: Adaptive Filter Theory year: 1996 ident: e_1_2_10_9_1 – ident: e_1_2_10_28_1 doi: 10.1109/26.650219 – ident: e_1_2_10_34_1 doi: 10.1109/ICASSP.1996.543554 – ident: e_1_2_10_6_1 doi: 10.1109/ICASSP.1997.604754 – ident: e_1_2_10_24_1 doi: 10.1109/TCSII.2019.2897620 – volume: 67 start-page: 4795 issue: 11 year: 2020 ident: e_1_2_10_25_1 article-title: Variable step‐size affine projection maximum correntropy criterion adaptive filter with correntropy induced metric for sparse system identification publication-title: IEEE Trans. Circuits Syst. II: Exp. Briefs – ident: e_1_2_10_17_1 doi: 10.1002/ecja.4400670503 – ident: e_1_2_10_32_1 doi: 10.1109/LSP.2018.2880084 – volume-title: A First Course in Stochastic Processes year: 1975 ident: e_1_2_10_30_1 – volume-title: Wireless Communications: Principles and Practice year: 2001 ident: e_1_2_10_3_1 – ident: e_1_2_10_13_1 doi: 10.1109/TAES.2019.2906418 – ident: e_1_2_10_4_1 doi: 10.1017/CBO9780511841224 – ident: e_1_2_10_5_1 doi: 10.1109/TVT.2020.3020946 – volume: 68 start-page: 65 issue: 1 year: 2019 ident: e_1_2_10_14_1 article-title: Performance analysis of deficient length quaternion least mean square adaptive filters publication-title: IEEE Trans. Signal Process. – ident: e_1_2_10_12_1 doi: 10.1109/TSP.2003.820077 – volume-title: Adaptive Filtering, Prediction, and Control year: 1984 ident: e_1_2_10_27_1 – ident: e_1_2_10_36_1 doi: 10.1109/TCOMM.2009.02.060065 – ident: e_1_2_10_11_1 doi: 10.1109/TCSII.2019.2929536 – volume-title: Table of Integral, Series, and Products year: 2007 ident: e_1_2_10_39_1 – ident: e_1_2_10_20_1 doi: 10.1109/82.959866 – ident: e_1_2_10_29_1 doi: 10.1109/LSP.2019.2929874 – ident: e_1_2_10_22_1 doi: 10.1109/CSNDSP.2018.8471844 – ident: e_1_2_10_10_1 doi: 10.1002/9780470374122 – ident: e_1_2_10_18_1 doi: 10.1109/TASLP.2019.2949928 – volume-title: Digital Communications year: 2008 ident: e_1_2_10_2_1 – ident: e_1_2_10_26_1 doi: 10.1109/AICT.2010.85 – ident: e_1_2_10_19_1 doi: 10.1109/TSP.2004.823483 – ident: e_1_2_10_38_1 doi: 10.1109/ISIT.2009.5205261 – ident: e_1_2_10_35_1 doi: 10.1561/9781933019505 – volume-title: Adaptive Signal Processing year: 1985 ident: e_1_2_10_8_1 |
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| StartPage | 988 |
| SubjectTerms | Adaptive algorithms Algorithms Carrier frequencies Channels Complexity Computer simulation Correlation analysis Energy conservation Error analysis Fading Frequency analysis Offsets Parameter estimation Performance evaluation Random variables Transmitters Wireless communications |
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| Title | Performance analysis of the low‐complexity adaptive channel estimation algorithms over non‐stationary multipath Rayleigh fading channels under carrier frequency offsets |
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| Volume | 16 |
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