2002
DOI: 10.1109/35.983923
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Linearized transmitters: an enabling technology for software defined radio

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Cited by 45 publications
(15 citation statements)
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“…Depending on the overall waveform structure and range of frequencies considered, these can also be divided into in-band and out-of-band distortion components. Typically, in-band distortion products result in an increased effective noise floor (from any individual waveform point of view), while out-of-band components introduce crosstalk and interference between different signal bands [40][41][42][43][44][45][46][47][48][49][50].…”
Section: Nonlinearitiesmentioning
confidence: 99%
“…Depending on the overall waveform structure and range of frequencies considered, these can also be divided into in-band and out-of-band distortion components. Typically, in-band distortion products result in an increased effective noise floor (from any individual waveform point of view), while out-of-band components introduce crosstalk and interference between different signal bands [40][41][42][43][44][45][46][47][48][49][50].…”
Section: Nonlinearitiesmentioning
confidence: 99%
“…Efficiency of this system is likely to be poor and size and cost may well be greater than would otherwise be required to deliver the same output power. Therefore, linearization and efficiency enhancement techniques (Kenington, 2000;Cripps, 2006) prove essential in the realization of efficient and cost-effective PAs and/or transmitters (Kenington, 2002). Such techniques, and particularly those that are digital input in nature, are a key enabling technology without which SDR cannot succeed.…”
Section: Introductionmentioning
confidence: 99%
“…밀 리미터파 전송 커버리지를 확보하기 위해서는 적정 이득 을 가지는 고출력 전력증폭기의 사용이 필요하며, 이에 따라 신호의 비선형성 및 인접 채널 간섭이 증대하게 된 다 [5], [6] . 이에 따른 전송 신호의 EVM(Error Vector Magnitude) 및 비트오율의 증가도 데이터 수율을 낮아지게 하 는 요인이며, 비선형성을 보상하기 위한 방안으로 다양한 형태의 디지털 사전왜곡기가 설계되어 활용되고 있다 [7][11] . 직접학습 구조를 기반으로 하는 사전왜곡 방식에서는 전력증폭기 특성을 추정하는 과정이 필요하며, 일반적으 로 볼테라 급수 모델 모델링을 활용하고, 모델링의 정확 성을 높이기 위한 메모리 다항식이 사용된다 [12]~ [15] .…”
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