The equalisation topic is well researched and a variety of solutions are available. The MAP sequence detector provides the lowest symbol error rate (SER) attainable, and the MLSE offers a near optimal solution. However, these optimal techniques are not yet practical for high-level modulation schemes, due to their computational complexity. Linear equaliser or linear-combiner DFE are practical sc...

Frequency-domain equalization (FDE) based on the minimum mean square error (MMSE) criterion can provide better downlink bit error rate (BER) performance of direct sequence code division multiple access (DS-CDMA) than the conventional rake combining in a frequencyselective fading channel. FDE requires accurate channel estimation. In this paper, we propose a new 2-step maximum likelihood channel ...

This paper proposes an exclusive equalizer alternative to existing optimum maximum likelihood (ML) equalizer that reduces bit error rate (BER) via spatial multiplexing, diversity combining and splits up each user's multiple input multiple output (MIMO) channel into parallel subchannels. Quadrature phase shift keying (QPSK) modulation is treated here for the simulation purpose. The new equalizer...

The downlink bit error rate (BER) performance of direct sequence-code division multi-access (DS-CDMA) in a frequency-selective fading channel can be significantly improved by the use of frequency-domain equalization (FDE) based on minimum mean square error (MMSE) criterion. In the uplink case, however, the presence of multi-access interference (MAI) significantly degrades the BER performance ev...

In this paper, we propose a joint transmit and receive linear filtering based on minimum mean square error criterion (joint Tx/Rx MMSE filtering) for single-carrier (SC) multiple-input multiple-output (MIMO) transmission. Joint Tx/Rx MMSE filtering transforms the MIMO channel to the orthogonal eigenmodes to avoid the inter-antenna interference (IAI) and performs MMSE based transmit power alloca...

A novel adaptive beamforming technique is proposed for wireless communication application based on the minimum bit error rate (MBER) criterion. It is shown that the MBER approach provides significant performance gain in terms of smaller bit error rate (BER) over the standard minimum mean square error (MMSE) approach. Using the classical Parzen window estimate of probability density function (p....

In wireless communication, Multiple-Input Multiple-Output (MIMO) is the most propitious technology that enhances the system capacity and data rate by using multiple antennas at the receiver and at the transmitter. Efficient signal detection at the receiver is complex task in MIMO systems. The computational complexity of equalization based linear detection algorithms such as Minimum Mean Square ...

It is proposed low-complexity block turbo equalizers for orthogonal frequency-division multiplexing (OFDM) system in a channel. The presented work is based on a soft minimum mean –square error (MMSE) block linear equalizer (BLE) that exploits the banded structure of the frequency –domain channel matrix, as well as a receiver window that enforces this banded structure. This equalization approach...

The automatic upgradation of equalizer weights in channel equalization demands a low-complexity, highly accurate estimation recovery at the minimum possible time. low-complexity frequency domain improves mean square error (MMSE) process. Adding superiority particle swarm optimization (PSO) to coefficient selection process enhances MMSE. This work proposes frequency-domain along with modified PS...

This paper considers interference limited communication systems where the desired user and interfering users are symbol-synchronized. A novel adaptive beamforming technique is proposed for quadrature phase shift keying (QPSK) receiver based directly on minimizing the bit error rate. It is demonstrated that the proposed minimum bit error rate (MBER) approach utilizes the system resource (antenna...