• ETRI Journal
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• 제32권2호
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• pp.214-221
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• 2010

Radio frequency (RF) subsampling can be used by radio receivers to directly down-convert and digitize RF signals. A goal of a cognitive radio/software defined ratio (CR/SDR) receiver design is to place the analog-to-digital converter (ADC) as near the antenna as possible. Based on this, a band-pass sampling (BPS) frontend for CR/SDR is proposed and verified. We present a receiver architecture based second-order BPS and signal processing techniques for a digital RF frontend. This paper is focused on the benefits of the second-order BPS architecture in spectrum sensing over a wide frequency band range and in multiband receiving without modification of the RF hardware. Methods to manipulate the spectra are described, and reconstruction filter designs are provided. On the basis of this concept, second-order BPS frontends for CR/SDR systems are designed and verified using a hardware platform.

• 전기전자학회논문지
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• 제26권4호
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• pp.568-576
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• 2022

무선 신호 인식 및 자동 변조 분류(Automatic Modulation Classification) 기술은 넓은 주파수 대역에서 다양한 무선 통신 서비스를 단일 단말에서 유연하게 이용 가능한 SDR(Software Defined Radio) 플랫폼의 핵심 요소 기술로 필요성이 높아지고 있다. 최근에는 데이터 학습 기반의 딥러닝 기술을 기반으로 정확도가 향상된 여러 가지 자동 변조 분류 모델들이 제안되고 있다. 하지만, 대부분의 연구는 모델에 입력되는 무선 신호의 길이가 고정된 경우에 초점을 맞추고 길이가 가변적인 시나리오를 고려하지 않고 있다. 본 연구에서는 SDR의 개방형 플랫폼의 요소 기술로써 임의의 무선 신호의 길이에 대해 변조 분류가 가능한 방법을 제안한다. 이를 위해, 두 가지 입력 크기에 대해 학습된 Convolutional Neural Network(CNN) 기반의 주 모델(main model)과 하위 모델(small model)로 분류 시스템을 설계하고, 나머지 구간의 길이로 수신된 신호에 대해서는 자기 복제 패딩 기법으로 입력 샘플을 증강시켜 변조 분류를 수행한다. 분류 성능 정확도 및 계산 복잡도의 비교분석을 위한 RadioML 2018.01A 데이터셋을 사용한 실험을 통해 제안하는 기법이 모든 신호 대 잡음비(Signal-to-Noise Ratio, SNR) 영역에서 기존 방식보다 높은 정확도를 제공하면서도 낮은 연산량을 필요함을 보였다.

• 한국전자파학회논문지
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• 제29권4호
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• pp.308-315
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• 2018

본 논문에서는 두 표적 간의 거리차를 정밀하게 계측할 수 있는 S-band 고 분해능 레이다 개발을 위한 시스템 기본 설계 및 구현 결과를 제시한다. 3.5 GHz LFM(Linear Frequency Modulation) 레이다 기본 설계를 위하여 제안하는 시스템 요구조건은 거리 분해능 1 m, 최대 계측 거리 2 km이며 레이다 방정식을 통해 각 모듈의 사양을 결정하였다. 최종적으로 150 MHz 대역폭, 송신 출력 43 dBm 전력 증폭기, 이득 26 dBi 안테나, 잡음 지수 8 dB 이하, RCS $1m^2$일 때, 표적과 레이다의 최대거리 2 km 기준 SNR이 30 dB 이상이 나올 수 있음을 확인할 수 있었다. 시뮬레이션 결과를 토대로 하드웨어 설계를 하였으며, SDR(Software Defined Radar) 장비를 이용한 LFM 레이다 설계 이론과 방법 그리고 야외 시험 결과를 보여주고 요구조건을 만족하는 레이다 시스템 설계가 가능함을 입증하였다.

• ETRI Journal
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• 제33권3호
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• pp.326-334
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• 2011

This paper outlines the time jitter effect of a sampling clock on a software-defined radio technology-based digital intermediate frequency (IF) transceiver for a mobile communication base station. The implemented digital IF transceiver is reconfigurable to high-speed data packet access (HSDPA) and three bandwidth profiles: 1.75 MHz, 3.5 MHz, and 7 MHz, each incorporating the IEEE 802.16d worldwide interoperability for microwave access (WiMAX) standard. This paper examines the relationship between the signal-to-noise ratio (SNR) characteristics of a digital IF transceiver with an under-sampling scheme and the sampling jitter effect on a multichannel orthogonal frequency-division multiplexing (OFDM) signal. The simulation and experimental results show that the SNR of the OFDM system with narrower band profiles is more susceptible to sampling clock jitter than systems with relatively wider band profiles. Further, for systems with a comparable bandwidth, HSDPA outperforms WiMAX, for example, a 5 dB error vector magnitude improvement at 15 picoseconds time jitter for a bandwidth of WiMAX 3.5 MHz profile.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.2
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• pp.385-390
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• 2006

This paper examines the sampling and jitter specifications and considerations for Global Navigation Satellite Systems (GNSS) software receivers. Software radio (SWR) technologies are being used in the implementation of communication receivers in general and GNSS receivers in particular. With the advent of new GPS signals, and a range of new Galileo and GLONASS signals soon becoming available, GNSS is an application where SWR and software-defined radio (SDR) are likely to have an impact. The sampling process is critical for SWR receivers, where it occurs as close to the antenna as possible. One way to achieve this is by BandPass Sampling (BPS), which is an undersampling technique that exploits aliasing to perform downconversion. BPS enables removal of the IF stage in the radio receiver. The sampling frequency is a very important factor since it influences both receiver performance and implementation efficiency. However, the design of BPS can result in degradation of Signal-to-Noise Ratio (SNR) due to the out-of-band noise being aliased. Important to the specification of both the ADC and its clocking Phase- Locked Loop (PLL) is jitter. Contributing to the system jitter are the aperture jitter of the sample-and-hold switch at the input of ADC and the sampling-clock jitter. Aperture jitter effects have usually been modeled as additive noise, based on a sinusoidal input signal, and limits the achievable Signal-to-Noise Ratio (SNR). Jitter in the sampled signal has several sources: phase noise in the Voltage-Controlled Oscillator (VCO) within the sampling PLL, jitter introduced by variations in the period of the frequency divider used in the sampling PLL and cross-talk from the lock line running parallel to signal lines. Jitter in the sampling process directly acts to degrade the noise floor and selectivity of receiver. Choosing an appropriate VCO for a SWR system is not as simple as finding one with right oscillator frequency. Similarly, it is important to specify the right jitter performance for the ADC. In this paper, the allowable sampling frequencies are calculated and analyzed for the multiple frequency BPS software radio GNSS receivers. The SNR degradation due to jitter in a BPSK system is calculated and required jitter standard deviation allowable for each GNSS band of interest is evaluated. Furthermore, in this paper we have investigated the sources of jitter and a basic jitter budget is calculated that could assist in the design of multiple frequency SWR GNSS receivers. We examine different ADCs and PLLs available in the market and compare known performance with the calculated budget. The results obtained are therefore directly applicable to SWR GNSS receiver design.