The radio channel places fundamental limitations on the performance of mobile ad hoc wireless networks. In the mobile radio environment, fading due to multipath delay spread impairs received signals. The purpose of this thesis is to develop a radio channel model and examine the effect of various parameters on channel behavior that is representative of environments in which mobile ad hoc wireles...

We investigate the performance of uncoded uplink transmissions in a broadband code division multiple access (CDMA) system using a tapped delay line (TDL) antenna array. First, the weights of a TDL antenna array are derived for broadband CDMA. Using these weights, we perform simulations to demonstration how TDL antenna arrays can help reduce multi-access interference (MAI), allow the use of spre...

This paper proposes a spatio-temporal equalization method, which employs a cascade configuration of an adaptive array and a decision feedback equalizer (DFE). With the configuration, the proposed equalizer requires small number of weights, and hence, low computational complexity, however, it has to pay a price for the simplicity, namely, noise enhancement due to high sidelobe levels in certain ...

Many communication, control, and information processing subsystems (such as data equalizer, array processor, whitening filter, dynamical system identifier, etc.) are modeled by linear systems incorporating tapped delay lines (TDL). Such optimized subsystems result in full precision multiplications in the TDL. In order to reduce complexity and cost in a microprocessor implementation, these multi...

In this paper, a neural network scheme is presented for modeling VBR MPEG-2 video sources. In particular, three non linear autoregressive models (NAR) are proposed to model the aggregate MPEG-2 video sequence, each of which corresponds to one of the three types of frames (I, P and B frames). Then, the optimal mean-squared error predictor of the NAR model is implemented using a feedforward neura...

Two different partially recurrent neural networks st,ructured as Multi Layer Perceptrons (MLP) are inves tigated for time domain identification of a nonlinear structure. The one partially recurrent neural network has feedback of a displacement component from t,he output layer to a tapped-delay-line (TDL) input layer. The other recurrent neural network bazd on the Innovation State Space model (I...

We develop sparse array receive beamformer design methods achieving maximum signal-to-interference plus noise ratio (MaxSINR) for wideband sources and jammers. Both tapped delay line (TDL) filtering the DFT realizations to processing are considered. The sparsity stems from limited number of available RF transmission chains that switch between sensors, thereby configuring different arrays at tim...

This paper studies the performance of the Tap Delay line (TDL) and the Gamma Filter in the application of echo cancellation. The TDL and Gamma filter architecture is implemented using the Least Mean Squares (LMS) algorithm. Experimental results indicate that the Gamma filter outperforms the TDL with respect to the intelligibility of the speech recovered and the number of tap weights used in the...

Non-terrestrial network (NTN) systems can offer wide area coverage for applications requiring high mobility, which is expected in the sixth generation (6G) of telecommunication systems. This paper proposes a high-mobility support system based on 5G-NR physical layer components NTN connectivity. In this paper, we propose optimization numerologies and impact various modulation coding schemes (MCS...

The need to extract a single audio signal of interest from a multi-source and noisy environment is common across many disciplines. Adaptive beamforming, due to its superior interference rejection and noise suppression, is a preferred processing technique for obtaining high quality audio in noisy environments. In a previous study, we have examined the performance of two classes of adaptive beamf...