中国科学技术大学学报
中國科學技術大學學報
중국과학기술대학학보
JOURNAL OF UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
2011年
11期
950-957
,共8页
正交频分复用(OFDM)%峰均功率比(PAPR)%剪波噪声%剪波比(CR)
正交頻分複用(OFDM)%峰均功率比(PAPR)%剪波譟聲%剪波比(CR)
정교빈분복용(OFDM)%봉균공솔비(PAPR)%전파조성%전파비(CR)
OFDM%peak-to-average power ratio (PAPR)%clipping noise%clipping ratio (CR)
为了在被剪波的正交频分复用系统中补偿幅度衰减和缓解剪波噪声,提高系统的误比特性能,提出了一个新的剪波比估计算法.考虑正交频分复用系统中的导频子载波一般是低阶相移键控调制符号,因此这些导频子载波的解调不受幅度衰减影响但是它的误比特率却是剪波比参数的函数.通过推导导频子载波误比特率的闭合表达式,并使用该关系和解一个关于剪波比的方程给出了估计的剪波比.两种评估方法被引入以对估计准确性进行评估.两种评估仿真结果表明,在多径静态衰落信道环境下,即使信噪比很低,提出的算法也优于当前现有的算法.
為瞭在被剪波的正交頻分複用繫統中補償幅度衰減和緩解剪波譟聲,提高繫統的誤比特性能,提齣瞭一箇新的剪波比估計算法.攷慮正交頻分複用繫統中的導頻子載波一般是低階相移鍵控調製符號,因此這些導頻子載波的解調不受幅度衰減影響但是它的誤比特率卻是剪波比參數的函數.通過推導導頻子載波誤比特率的閉閤錶達式,併使用該關繫和解一箇關于剪波比的方程給齣瞭估計的剪波比.兩種評估方法被引入以對估計準確性進行評估.兩種評估倣真結果錶明,在多徑靜態衰落信道環境下,即使信譟比很低,提齣的算法也優于噹前現有的算法.
위료재피전파적정교빈분복용계통중보상폭도쇠감화완해전파조성,제고계통적오비특성능,제출료일개신적전파비고계산법.고필정교빈분복용계통중적도빈자재파일반시저계상이건공조제부호,인차저사도빈자재파적해조불수폭도쇠감영향단시타적오비특솔각시전파비삼수적함수.통과추도도빈자재파오비특솔적폐합표체식,병사용해관계화해일개관우전파비적방정급출료고계적전파비.량충평고방법피인입이대고계준학성진행평고.량충평고방진결과표명,재다경정태쇠락신도배경하,즉사신조비흔저,제출적산법야우우당전현유적산법.
A new approach was proposed for clipping ratio (CR) estimation when amplitude attenuation should be compensated and clipping noise mitigated to improve the bit-error rate (BER) performance of orthogonal frequency division multiplexing (OFDM) system wherein the clipping method was adopted to reduce the high peak-to-average power ratio (PAPR).It was noted that the pilot subcarriers were modulated by phase-shift keying (PSK) scheme in OFDM communication.Therefore,the demodulation of the pilot subcarrier was independent of the amplitude attenuation caused by clipping but its corresponding BER was the funtion of the CR parameter.The closed-form of the BER performance of pilot subcarriers was derived.By exploiting the relationship,an estimate of CR was obtained by solving an equation with respect to CR parameter.Two evaluation rules were employed to evaluate the estimation accuracy of the proposed method.Under the static multipath channel condition, both evaluation results demonstrate that the proposed algorithm is superior to the previous algorithm even for very low signal-to-noise power ratio (SNR).