New Constructions of Cross Z-Complementary Pairs

TL;DR

This paper introduces new constructions of cross Z-complementary pairs (CZCPs), including non-perfect and extended-length sequences, to improve channel estimation in spatial modulation MIMO systems, with proven optimality and structural properties.

Contribution

It presents a systematic construction method for CZCPs using generalized Boolean functions, extends their lengths, and introduces optimal binary CZCPs derived from Barker sequences and Golay pairs.

Findings

Proposed CZCPs achieve optimal channel estimation performance.

New lengths of CZCPs are constructed systematically.

Binary CZCPs are shown to be equivalent to Golay complementary pairs.

Abstract

Spatial modulation (SM) is a new paradigm of multiple-input multiple-output (MIMO) systems, in which only one antenna at the transmitter is activated during each symbol period. Recently, it is observed that SM training sequences derived from corss Z-complementary pairs (CZCPs) lead to optimal channel estimation performance over frequency-selective channels. CZCPs are special form of sequence pairs which have zero aperiodic autocorrelation zones and cross-correlation zone at certain time-shifts. Recent paper by Liu \textit{et al.} discussed only perfect CZCPs. In this paper, we focus on non-perfect CZCPs. We introduce the term cross Z-complementary ratio and re-categorise the CZCPs, both perfect and non-perfect, based on that. We propose a systematic construction of CZCPs based on generalised Boolean functions (GBFs). We further extend the lengths of the CZCPs by using the insertion method. The proposed CZCPs are all of new lengths of the form $2^\alpha10^\beta26^\gamma+2~(\alpha\geq1)$, $10^\beta+2$, $26^\gamma+2$ and $10^\beta 26^\gamma+2$. Finally we propose a construction of optimal binary CZCPs having parameters $(12,5)$ and $(24,11)$ from binary Barker sequences. These CZCPs are also extended to $(12N,5N)$- CZCPs and $(24N,11N)$- CZCPs, where $N$ is the length of a binary Golay complementary pair (GCP). During the proof, we also found a new structural property of binary CZCPs and concluded all binary GCPs are CZCPs too. Finally, we give some numerical simulations to confirm that depending on the number of multi-paths, the proposed CZCPs can be used to design SM training matrix which attains the minimum mean square error.