  This paper is focused on the design of phase sequences with good (aperiodic)
autocorrelation properties in terms of Peak Sidelobe Level (PSL) and Integrated
Sidelobe Level (ISL). The problem is formulated as a bi-objective Pareto
optimization forcing either a continuous or a discrete phase constraint at the
design stage. An iterative procedure based on the coordinate descent method is
introduced to deal with the resulting optimization problems which are
non-convex and NP-hard in general. Each iteration of the devised method
requires the solution of a non-convex min-max problem. It is handled either
through a novel bisection or an FFT-based method for the continuous and the
discrete phase constraint, respectively. Additionally, a heuristic approach to
initialize the procedures employing the lp-norm minimization technique is
proposed. Simulation results illustrate that the proposed methodologies can
outperform some counterparts providing sequences with good autocorrelation
features especially in the discrete phase/binary case.
