Unlike a generic PSK/QAM detector, which may visit a constellation diagram only once, a depth-first Sphere Decoder (SD) has to re-visit the same constellation diagram multiple times. Therefore, in order to prevent the SD from repeating the detection operations, the Schnorr-Euchner search strategy of Schnorr and Euchner may be invoked for optimizing the nodes\´ search-order, where the ideal case is for the SD to visit the constellation nodes in a zigzag fashion. However, when the hard-decision Multiple-Symbol Differential Sphere Detection (MSDSD) of Lampe
et al. is invoked for using multiple receive antennas
, the Schnorr-Euchner search strategy has to visit and sort all the
constellation points. A similar situation is encountered for the soft-decision MSDSD of Pauli
et al., when the
a priori LLRs gleaned from the channel decoder are taken into account. In order to tackle these open problems, in this paper, we propose a correlation process for the hard-decision MSDSD of Lampe
et al. and a reduced-complexity design for the soft-decision MSDSD of Pauli
et al., so that the Schnorr-Euchner search strategy always opts for visiting the
constellation points in a zigzag fashion. Our simulation results demonstrate that a substantial complexity reduction is achieved by our reduced-complexity design
without imposing any performance loss. Explicitly, up to 88.7% complexity reduction is attained for MSDSD
aided D16PSK. This complexity reduction is quite substantial, especially when the MSDSD is invoked several times- during turbo detection. Furthermore, in order to offer an improved solution and a comprehensive study for the soft-decision MSDSD, we also propose to modify the output of the SD to harmonize its operation with the near-optimum Approx-Log-MAP. Then the important subject of coherent versus noncoherent is discussed in the context of coded systems, which suggests that MSDSD aided DPSK is an eminently suitable candidate for turbo detection assisted coded systems operating at high Doppler frequencies.