数据采集与处理
數據採集與處理
수거채집여처리
JOURNAL OF DATA ACQUISITION & PROCESSING
2015年
3期
599-605
,共7页
曾辉%黄鲁%杨灿美
曾輝%黃魯%楊燦美
증휘%황로%양찬미
脉冲无线电超宽带%渐进添边算法%准循环%低密度奇偶校验码
脈遲無線電超寬帶%漸進添邊算法%準循環%低密度奇偶校驗碼
맥충무선전초관대%점진첨변산법%준순배%저밀도기우교험마
impulse radio ultra-wideband (IR-UWB)%progressive edge-growth algorithm (PEG)%quasi-cyclic (QC)%low-density parity check code (LDPC)
阐述了一种基于脉冲无线电超宽带(Impulse radio ultra‐wideband ,IR‐UWB)系统的高速低密度奇偶校验码(Low density parity‐check codes ,LDPC )算法推导及其性能比较,分析了渐进添边算法(Progressive edge‐grow th ,PEG)结合分块准循环(Quasi‐cyclic ,QC)的方式实现校验矩阵的构造以及单位阵( I矩阵)和Q矩阵作为子循环矩阵时的性能,并通过M atlab仿真的误比特曲线对算法进行分析。该LDPC解码器的设计采用一种基于变量因子的最小和(Minimum sum ,MS)译码算法,硬件复杂度较低,在标准U WB衰弱信道中,误码率10-6下产生约3.2 dB信噪损失。
闡述瞭一種基于脈遲無線電超寬帶(Impulse radio ultra‐wideband ,IR‐UWB)繫統的高速低密度奇偶校驗碼(Low density parity‐check codes ,LDPC )算法推導及其性能比較,分析瞭漸進添邊算法(Progressive edge‐grow th ,PEG)結閤分塊準循環(Quasi‐cyclic ,QC)的方式實現校驗矩陣的構造以及單位陣( I矩陣)和Q矩陣作為子循環矩陣時的性能,併通過M atlab倣真的誤比特麯線對算法進行分析。該LDPC解碼器的設計採用一種基于變量因子的最小和(Minimum sum ,MS)譯碼算法,硬件複雜度較低,在標準U WB衰弱信道中,誤碼率10-6下產生約3.2 dB信譟損失。
천술료일충기우맥충무선전초관대(Impulse radio ultra‐wideband ,IR‐UWB)계통적고속저밀도기우교험마(Low density parity‐check codes ,LDPC )산법추도급기성능비교,분석료점진첨변산법(Progressive edge‐grow th ,PEG)결합분괴준순배(Quasi‐cyclic ,QC)적방식실현교험구진적구조이급단위진( I구진)화Q구진작위자순배구진시적성능,병통과M atlab방진적오비특곡선대산법진행분석。해LDPC해마기적설계채용일충기우변량인자적최소화(Minimum sum ,MS)역마산법,경건복잡도교저,재표준U WB쇠약신도중,오마솔10-6하산생약3.2 dB신조손실。
The derivation and the performance analysis of a kind of high‐rate low density parity check (LDPC )codes algorithm are proposed for the application of impulse radio ultra‐wideband (IR‐UWB ) communication system .The PEG algorithm is combined with block quasi‐cyclic manner to construct the parity check matrix and the two different algorithms performance are compared by using the matrix I and matrix Q as the sub‐block cyclic matrix .The performance analysis is conducted with bit‐error curve from Matlab simulation .Moreover ,the minimum sum (MS) decoding algorithm based on a variable factor of the design is proposed and the final low complexity low density parity‐check code (LDPC) decoder incurs only about 3 .2dB signal‐to‐noise ratio (SNR) loss with the error rate of 10-6 bit in standard UWB fading channels .