約束和非約束頻域分組LMS自適應(yīng)濾波器的快速算法
FAST ALGORITHMS FOR THE CONSTRAINED AND UNCONSTRAINED FREQUENCY DOMAIN BLOCK-LMS ADAPTIVE FILTERS
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摘要: 本文通過將約束和非約束頻域分組LMS算法的權(quán)值迭代方程轉(zhuǎn)換成時(shí)域方程,利用最小二乘法(LS)分別選取最優(yōu)時(shí)變步長收斂因子,得到頻域最佳分組算法(FOBA)和非約束頻域最佳分組算法(UFOBA),雖然增加了計(jì)算量,但計(jì)算機(jī)仿真結(jié)果表明:提高了收斂速度和精度,算法穩(wěn)定可靠。
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關(guān)鍵詞:
- 自適應(yīng)信號(hào)處理; LMS算法; 收斂因子
Abstract: In this paper,the updating equations of FBLMS and UFBLMS algorithms are transformed into the time domain,then two algorithms(FOBA and UFOBA) are presented by employing time-varying convergence factors which are optimized in a least-square(LS) sense respectively.Although FOBA and UFOBA algorithms require a relatively modest increase in computation for each block iteration compared to FBLMS and UFBLMS algorithms respectively,it is shown by simulations that these algorithms improve convergence speed and accucary of adaptation. -
Clark G A, Mitra S K. Block implementation of digital filters. IEEE Trans on Circuits and Systems, 1981, CAS-28(3): 584-592.[2]Ferrara E R. Fast implementation of LMS adaptive filters. IEEE Trans on Acoust. Speech. Sig. Proc, 1980, ASSP-28(4): 474-475.[3]Mansour D, Gray J. Unconstrained frequency-domain adaptive filter. IEEE Trans on Acoust. Speech. Sig. Proc, 1982, ASSP-30(5): 726-734.[4]Mikhael W B, Hu F H. Fast algorithms for block FIR adaptive digital filtering. IEEE Trans on Circuits and Systems, 1987, CAS-34(10): 1152-1160.[5]Mikhael W B, Spanias A S. A fast frequency-domain adaptive algorithm. Proc. IEEE 1988, 76(1):80-82.[6]Shynk J J. Frequency-domain and multi-rate adaptive filtering[J].IEEE Signal Processing Magzine.1992, 9(1):14-37[7]Li X H, Jankins W K. The comparison of the constrained and unconstrained frequency-domain block-LMS adaptive algorithms[J].IEEE Trans on Signal Processing.1996, 44 (7):1813-1816 -
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