Title :
On the search for good aperiodic binary invertible sequences
Author :
Ruprecht, J. ; Rupf, M.
Author_Institution :
Swiss Telecom, Berne
fDate :
9/1/1996 12:00:00 AM
Abstract :
For an aperiodic invertible sequence of length L, the optimality criterion is chosen to be the minimum noise enhancement factor of the corresponding aperiodic inverse filter. The noise enhancement factor is defined as the ratio of the noise energies at the outputs of the aperiodic inverse and the normalized matched filters of the sequence due to white noise at the filter inputs. Optimal binary sequences of length L⩽32 and optimal binary skew symmetric sequences of length 33⩽L⩽59 were found by exhaustive search. The search for near-optimal sequences is shown to have strong connections to the search for sequences with large products of Golay (1977) merit factor times the minimum of the energy density spectrum. Based on Legendre sequences and on Kronecker product sequences, long near-optimal binary sequences are found that have associated noise enhancement factors close to 1 dB
Keywords :
binary sequences; filtering theory; matched filters; optimisation; search problems; spectral analysis; white noise; Golay merit factor; Kronecker product sequences; Legendre sequences; aperiodic binary invertible sequences; aperiodic inverse filter; exhaustive search; long near optimal binary sequences; minimum energy density spectrum; minimum noise enhancement factor; near optimal sequences; noise energies; normalized matched filters; optimal binary skew symmetric sequences; optimality criterion; products; sequence length; white noise; Binary sequences; Error correction codes; Galois fields; Geometry; Matched filters; Signal to noise ratio; White noise;
Journal_Title :
Information Theory, IEEE Transactions on