Journal of Beijing University of Posts and Telecommunications. Blind CFR Estimation for SC2FDE Systems

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29 8 32 4 Journal of Beijing University of Posts and Telecommunications Aug. 29 Vol. 32 No. 4 :1725321 (29) 427724 CFR 1,2, 3, 3, 1 (1., 1876 ; 2., 413 ; 3., 3615) :.,,.,,.. : ; ; ; : TN911. 72 : A Blind CFR Estimation for SC2FDE Systems I Meng2xing 1,2, HUAN G ong2yang 3, CHEN G En 3, IU Ze2min 1 (1. School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 1876, China ; 2. Department of Physics and Telecommunication Engineering, Hunan City University, Hunan Yiyang 413, China ; 3. Key aboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education, Fujian Xiamen 3615, China) Abstract : A blind scheme to estimate channel f requency response ( CFR) in oversampled single2carrier f requency2domain equalization ( SC2FDE) systems based on linear prediction algorit hm ( PA) is devel2 oped. Compared wit h conventional PA based time2domain channel estimation approach, t his met hod obtains the closed2form solution for CFR directly from tap weights of the prediction filter, rather than cross2correlation of innovation and measurement s. The proposal is robust to channel order overestima2 tion. It s performance is better t han t hat of conventional PA based time2domain channel estimation approach. Fut hermore, it ensures t hat t he channel estimation in time2domain appears finite support2 ing. Simulations confirm our analysis. Key words : single2carrier f requency2domain equalization ; channel f requency response ; blind estima2 tion ; linear prediction algorit hm ( SC2FDE), [1 ],. ( PA) SC2 FDE CFR. Slock [2 ], A. M. Karim [3 ],. ( [4 ] ), PA,,. PA,, : 2821127 : (26AA9Z18) ; (8C196) : (1972 ),,, E2mail : thxlmx @bupt. cn ; (1927 ),,,.

78 32,. PA,. CFR,. [ 526 ]. [ 5 ] 2 ; [ 6 ] 1 1, 2. 1, SC2FDE,CIR, CFR. SC2FDE,,,, ( ),. [ 7 ], 9 db. CFR. CIR. 1 SC2FDE N,.,. q, x k = [ x k () x k (1) x k ( N - 1) ] T k ; h l = [ h l () h l (1) h l ( M ) ] T ( l - 1) T/ q + n T, l [ l, q ], T, ; y k, l ( n) = y ( ( l - 1) T/ q + n T), y k, l = [ y k, l () y k, l (1) y k, l ( ) ] T ; w, w k, l ( n) w k, l y k, l ( n) y k, l, SC2FDE y k, l = x k g h l + w k, l (1) Y k, l X k W k, l y k, l, x k w k, l N DFT, H l h l N DFT,(1) Y k, l ( i) = H l ( i) X k ( i) + W k, l ( i), i [, N - 1 ], : (2) 1),, 2. 2), 1. 2 CFR,,. 211 CFR l [ l, q ], y k ( n) = [ y k,1 ( n) y k,2 ( n) y k, q ( n) ] T h ( i) = [ h 1 ( i) h 2 ( i) h q ( i) ] T Y k ( i) = [ Y k,1 ( i) Y k,2 ( i) Y k, q ( i) ] T H ( i) = [ H 1 ( i) H 2 ( i) H q ( i) ] T y k ( n) = h ( i) x k ( n - i) i = (3) Y k ( i) = H ( i) X k ( i) (4) y k ( n) r y ( n, m) = E[ y k ( n) y H k ( n - m ) ] r y ( n, m ) n, r y ( n, m ) r y ( m ). (3) 2),E[ y k ( n) ] =,n, { y ( n), n [, N - 1 ]},y k ( n) 1. h ( z) = h ( i) z - i, h ( z), Bezout, y k ( n) AR. [3 ], { y ( n) } 1, h () x ( n).,,, y ( n) = y^ ( n) + h () x ( n) = A H i y ( n - l) + h () x ( n) (5) i = 1

4 : CFR 79, A i q q ; y^ k ( n ) y k ( n). 2 R = RA = r (6) r y () r y (1) r y ( ) r y ( - 1) r y () r y ( - 1) ω ω r y ( - ) r y ( - 1) r y () A = q A 1, r = A r y () - h () h H () r y ( - 1) r y ( - ) (6), r y ( i), i, A i h () h H (). h () h H () 1,h () h H () h () h H () = ( u 1 ) ( u 1 ) H (7),; u 1. (7) h () =( u 1 ) (8),. (3) (5), l - 1, h (1) x ( l - 1) + + h ( l) x () + h ( l + 1) x ( N - 1) + + h ( ) x ( N - + l) = A H 1 y ( l - 1) + + A H l y () + A H l + 1 y ( - 1) + + A H y ( - + l) (9) (9) x 3 k, ( N - 1) h ( l + 1) = A H 1 E[ y ( l - 1) x 3 ( N - 1) ] + A H 2 E[ y ( l - 2) x 3 ( N - 1) ] + + A H l + 1 E[ y ( - 1) x 3 ( N - 1) ] (1) h ( l + 1) = A H 1 h ( l) + A H 2 h ( l - 1) + + A H l + 1 h () = l +1 A H i h ( l - i + 1), l - 1 (11) i = 1 (3) (5), A H i h - i + c =, c [1, ] (12) i = c N N + 1 N, (13) (14) : h () h (1) h ( ) = > h N q q A H A H 2 A H 1 A H 1 q q A H A H 2 ω ω ω ω ω A H - 1 A H 1 q q A H A H A H - 1 A H 1 q q ω ω ω ω ω q A H A H - 1 A H 1 q > ( A H ) h () h (1) h ( ) + h () N q 1 h N =( A H ) h N + [ h T () ] T (13) ( A H ). F N q N Fourier, (13) F N H N = diag ( A F, A F,1 A F, N - 1) H N + [ h T () h T () h T () ] T (14) H N h N q N DFT, A F, i F N [ q A 1 A q q ] H N q q i q q,(16) H N ( i) = A F, i H N ( i) + h (), H H N ( i) = ( I q - A F, i) - 1 h () (15) DFT, g (,) I q g (, N ) I q g ( N,) I q g ( N, N ) I q > G H N = GH N (16) H h = [ h ( ) h ( 1) h ( ) q 1 q 1 ] T N q 1q N DFT, g ( k, m ) = 1 N N - 1 n = j2( rm - k) n/ N e,(18) CFR.

8 32 212 CFR, 1 2, 1 r y () - 2 I q,.,, (13) (14),(18) CFR., ^ h () h^ H (),.,(18) CFR H^ h^ l [ N, N - 1 ] ^ h ( l) =,,, h^ ( + 1) h^ ( N - 1), [7 ]., CFR,., PA, SNR. 3, N = 1 24,6, 8PSK,q = 2. [8 ] = 3, h ( z) = - 1189 2 + 1427 3j 136 + 1138 8j - 1283 9 + 1698 4j 114 1 + 1412 6j 1127 4 + 1432 1j 191 4 + 1188 5j - 145 1 + 191 2j 125 2-173 9j z - 1 + z - 2 + z - 3 z + [ 9 ] = arg ( h () / h^ () ). 1 Monte Carlo.,MMSE SC2FDE,K = 2., 2.,[7 ]S BER. 1,, S, SNR 6 db, S., S. SNR 14 db,ber 1-3. 1, PA [ 5 ]. CFR ( RMSE). 2, PA,, S. 212, SNR,, PA. SNR,, 16 db,.,,[ 5 ]. [ 5 ] 2 PA RMSE (98 )

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