TY - JOUR
T1 - Rank-one detector for kronecker-structured constant modulus constellations
AU - E-Asim, Fazal
AU - De Almeida, Andre L.F.
AU - Haardt, Martin
AU - Cavalcante, Charles C.
AU - Nossek, Josef A.
N1 - Publisher Copyright:
© 1994-2012 IEEE.
PY - 2020
Y1 - 2020
N2 - To achieve a reliable communication with short data blocks, we propose a novel decoding strategy for Kronecker-structured constant modulus signals that provides low bit error ratios (BERs) especially in the low energy per bit to noise power spectral density ratio (Eb/No). The encoder exploits the fact that any M-PSK constellation can be factorized as Kronecker products of lower or equal order PSK constellation sets. A construction of two types of schemes is first derived. For such Kronecker-structured schemes, a conceptually simple decoding algorithm is proposed, referred to as Kronecker-RoD (rank-one detector). The decoder is based on a rank-one approximation of the 'tensorized' received data block, has a built-in noise rejection capability and a smaller implementation complexity than state-of-The-Art detectors. Compared with convolutional codes with hard and soft Viterbi decoding, Kronecker-RoD outperforms the latter in BER performance at same spectral efficiency.
AB - To achieve a reliable communication with short data blocks, we propose a novel decoding strategy for Kronecker-structured constant modulus signals that provides low bit error ratios (BERs) especially in the low energy per bit to noise power spectral density ratio (Eb/No). The encoder exploits the fact that any M-PSK constellation can be factorized as Kronecker products of lower or equal order PSK constellation sets. A construction of two types of schemes is first derived. For such Kronecker-structured schemes, a conceptually simple decoding algorithm is proposed, referred to as Kronecker-RoD (rank-one detector). The decoder is based on a rank-one approximation of the 'tensorized' received data block, has a built-in noise rejection capability and a smaller implementation complexity than state-of-The-Art detectors. Compared with convolutional codes with hard and soft Viterbi decoding, Kronecker-RoD outperforms the latter in BER performance at same spectral efficiency.
KW - Gaussian approximation
KW - Kronecker coding
KW - LS-Kronecker factorization
KW - rank-one approximation
UR - http://www.scopus.com/inward/record.url?scp=85090880307&partnerID=8YFLogxK
U2 - 10.1109/LSP.2020.3010133
DO - 10.1109/LSP.2020.3010133
M3 - Article
AN - SCOPUS:85090880307
SN - 1070-9908
VL - 27
SP - 1420
EP - 1424
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
M1 - 9146283
ER -