When processing electroencephalography (EEG) signals in motor imagery case, it is essential to analyze them both time and frequency domains. An EEG signal has a non-stationary property its feature also differs from individual individual. Thus, we can infer that each subject one’s own dominant timing band for extracting distinguishable features. Based on this inference, after analyzing with the Hjorth parameter, select principal using Fisher ratio of parameter. By doing these, performance...

The cross ambiguity function (CAF) has been commonly used to find time difference of arrival (TDOA) and frequency (FDOA). In most cases, direct computation the CAF by using a conventional method such as fast Fourier transform is too computationally intensive. Thus, two-stage approach consisting coarse mode rough TDOA/FDOA estimates fine for precise estimation was introduced. However, there no methodology selecting an interpolation factor determined sampling target precision which...

Micro-Doppler signature represents the micromotion state of a target, and it is used in target recognition classification technology. The micro-Doppler frequency appears as transition Doppler due to rotation vibration an object. Thus, tracking classifying targets with high accuracy possible. However, difficult distinguish types when subdividing same or different similar velocities. In this study, we address problem three speeds segmentation type targets. A novel extraction procedure...

Linear frequency modulation (LFM) signals have been widely used for target detection in active sonar systems due to their robustness reverberation. However, LFM requires a large number of reference detecting targets moving with unknown speeds. To obtain more accurate results, are required, resulting an increased computational burden and memory size. cope up this problem, we propose new fast method that is robust the variation speed. A come into single signal by aligning them precalculated...

For deep learning detection networks in the multiple-input-multiple-output (MIMO) channel, deepening network does not significantly improve performance beyond a certain number of layers. In this letter, we propose parallel (PDN) that consists several without connection. By designing specific loss function and reducing similarity between networks, PDN obtains considerable diversity effect. The improves as increases time-varying MIMO channels. This is superior to existing both complexity.

In electronic warfare systems, detecting low-probability-of-intercept (LPI) radar signals poses a significant challenge due to the signal power being lower than noise power. Techniques using statistical or deep learning models have been proposed for low-power signals. However, as these methods overlook inherent characteristics of signals, they possess limitations in detection performance. We introduce learning-based model that capitalizes on periodicity characteristic The periodic...

Spatial aliasing is an undesirable phenomenon that prevents the unique determination of direction arrival (DOA) impinging signals in array signal processing. However, characteristics spatial generates ambiguous DOAs can be also used to reduce computational complexity maximum-likelihood (ML) DOA estimation. This paper proposes a structural method dramatically ML estimation using generated by nested structure with doubly scaled aperture. An full grid search computationally simplified highly...

The paper analyzes the error propagation phenomenon in decision feedback equalizer (DFE) for receivers of Advanced Television Systems Committee (ATSC) digital television (DTV) and presents performance upper-limits DFE by comparing various cases no-error case. As one approach to limit, we consider a blind DFE, adopting trellis decoder with trace-back depth 1 as device. Through simulation, show how much ATSC DTV is affected propagation. We found that while equalization preferable...

Accurately classifying and deinterleaving overlapping radar signals presents a significant challenge in complex environments, such as electronic warfare. Traditional methods, spectrogram-based analysis, often struggle to differentiate with similar scan patterns, particularly under low signal-to-noise ratio (SNR) conditions. To address these limitations, we propose novel two-stage classification framework that combines amplitude pattern (AMP) analysis visibility graphs enhance the accuracy...

This paper presents a novel feedback canceller for terrestrial digital multimedia broadcasting (T-DMB) on-channel repeater (OCR). There is crucial requirement an OCR that the isolation between transmitter and receiver antennas should be sufficiently secured to prevent unwanted oscillation. The required isolation, however, may not satisfied by some physical or technical limitations. In order overcome these obstacles, undesired signals have been usually reduced cancellation techniques based on...

We consider a signal detection problem by using deep learning techniques in multiple-input multiple-output (MIMO) decode-forward (DF) relay channel. There exist some suboptimal detectors such as the near maximum likelihood (NML) detector and NML with two-level pair-wise error probability (NMLw2PEP) However, require an exponentially increasing complexity number of transmit antennas increases. More seriously, without channel state information (CSI) source-relay (SR) link, there is no that can...

We present a novel may to remove the bias in equation-error based adaptive infinite impulse response (IIR) filtering by conceiving scheme called monic normalization. It is found that normalizing all coefficients of denominator filter first coefficient after each adaptation removes and leads unbiased estimates. The analysis stationary points presented show proposed method can indeed produce parameter estimates presence noise. computer simulation results also demonstrate performs better than...

This paper proposes a noise-reduction method to improve the channel-estimation performance in digital video broadcasting-terrestrial (DVB-T) receivers. In DVB-T, channel estimation is carried out through two processes of pilot signal and coefficient interpolation thus seriously affected by accuracy interpolation. Since depends on signal-to-noise ratio, it important reduce noise existing at reference coefficients for To achieve reduction noise, we use pilot-insertion type approximation four...

Recognizing low-probability-of-intercept (LPI) radar waveforms is essential in modern electronic warfare support systems. Recently, there has been a growing body of research about convolutional neural network (CNN) to classify modulation schemes the intercepted LPI signal. This paper proposes CNN model composed main and sub classifier for recognizing scheme Unlike existing waveform recognition methods that uses single classifier, our proposed exploits two-step classification technique...

We mathematically analyze the passband vestigial sideband (VSB) system for Advanced Television Systems Committee (ATSC) digital television standard and present a baseband-equivalent VSB model. The obtained baseband model is represented by convolution of transmission signal (before modulation) equivalent complex channel. Due to operation physical channel as an RF asymmetrical property modulation, it necessary use However, may be reduced baseband. show how apply information such delay, gain,...

We present novel blind decision feedback equalization algorithms for VSB-based DTV receivers by modifying a stop-and-go dual-mode constant modulus algorithm (SAG DMCMA) and applying selective (SF) scheme to stop-and-go, (SAG) based algorithms. The modification of the SAG DMCMA applies only filter tap update DFE, thus reducing loss information caused policy. SF scheme, in which we choose equalizer output or slicer input DFE according flag, diminishes error propagation improves convergence...

Hierarchical modulation has been considered for achieving higher data rates in Terrestrial-DMB (T-DMB) systems, which yields man-made noise caused by the shortened symbol distance. Such may produce a serious problem on fast-fading channel proper operation of conventional T-DMB receivers using noncoherent differential detection because it can increase required SNR larger than securable receivers. To overcome weakness being susceptible to fast fading detection, we propose novel...

Hierarchical modulation can be effectively used to enhance terrestrial digital multimedia broadcasting (T-DMB) or audio (DAB) systems in response both the demand for higher data-rate and need backward compatible with legacy receivers. QAM-type modulations are well-liked hierarchical transmission but require coherent detection based on pilot symbol aided channel estimation. In T-DMB DAB system using DQPSK modulation, however, any available symbols except phase reference do not exist....