Title :
Gaussian Integer Sequences With Ideal Periodic Autocorrelation Functions
Author :
Hu, Wei-Wen ; Wang, Sen-Hung ; Li, Chih-Peng
Author_Institution :
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Abstract :
A Gaussian integer is a complex number whose real and imaginary parts are both integers. Meanwhile, a sequence is defined as perfect if and only if the out-of-phase value of the periodic autocorrelation function is equal to zero. This paper presents two novel classes of perfect sequences constructed using two groups of base sequences. The nonzero elements of these base sequences belong to the set {±1, ±j}. A perfect sequence can be obtained by linearly combining these base sequences or their cyclic shift equivalents with arbitrary nonzero complex coefficients of equal magnitudes. In general, the elements of the constructed sequences are not Gaussian integers. However, if the complex coefficients are Gaussian integers, then the resulting perfect sequences will be Gaussian integer perfect sequences (GIPSs). In addition, a periodic cross-correlation function is derived, which has the same mathematical expression as the investigated sequences. Finally, the maximal energy efficiency of the proposed GIPSs is investigated.
Keywords :
Gaussian processes; correlation methods; mathematical analysis; sequences; GIPS; Gaussian integer perfect sequence; arbitrary nonzero complex coefficient; cyclic shift equivalent; ideal periodic autocorrelation function; mathematical expression; maximal energy efficiency; nonzero base sequence element; out-of-phase value; perfect sequences construction; periodic cross-correlation function; Correlation; Discrete Fourier transforms; Electrical engineering; Indexes; Peak to average power ratio; Sun; Vectors; Gaussian integer; perfect sequence; periodic auto-correlation function (PACF); periodic cross-correlation function (PCCF);
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2012.2210550