⑴ 高分求一段漢譯英，用軟體直接翻譯的勿擾。
With the development of science and technology, now in many areas of need to know the exact direction of useful signal, the frequency of parameters, the precise measurement of the signal to put a very high demand. Spectrum space technology in many areas has been widely used, and array signal processing plays a very important role.
Often, the signal space is measured up to one direction Wei Boda (DOA) estimates. In practical applications, often at the same time to signal the number of parameters of the estimates, such as signal DOA, pitch angle and frequency. This paper first introced for the two-dimensional space spectrum of the estimated MUSIC algorithm, ESPRIT algorithm for the basic idea and principle of algorithm, and then focus on the two algorithms based on the position - two-dimensional frequency spectrum estimation. Then this paper were used MATLAB language MUSIC algorithm and ESRPIT algorithm estimated two-dimensional and computer simulation results are analyzed and compared.
This paper first introced the concept of radio frequency identification technology, the rise and development. Radio frequency identification system with the basic structure and principles, described the antenna transceiver and the working principle of the process. Subsequent analysis of the transmitting power, receive power chip, chip power consumption and receiving antennas to receive the echo of the relationship between power and to examine in detail the chip to receive power and receiving antennas to receive the echo power as a range of changes, as well as the decision The size of these power factors, the actual design of radio frequency identification hardware to provide reference data
參考
⑵ 請問MUSIC演算法和LMS演算法到底是怎麼回事,都是用來干嗎的啊
這是兩種不同的演算法,MUSIC演算法是多重信號分類演算法,是經典的空間譜估計演算法,通過將接受信號分成雜訊子空間和信號子空間(這兩子空間正交)達到超分辨譜估計.MUSIC演算法可以完成DOA(波達方向)估計和頻率估計.其實質是基於一維搜索的雜訊子空間演算法.
LMS演算法是最小均方演算法，是自適應技術的基礎．LMS演算法是達到輸入信號與期望信號有最小的均方誤差的一種演算法．
⑶ 波束形成和music有什麼關系
為了提高頻域波束形成的寬頻波達方向估計性能,提出了類MUSIC波束形成演算法(MBM,MUSIC-likeBeamforming Method).在頻域將寬頻信號劃分為若干窄帶信號,疊加各窄帶的MBM演算法的空間譜後其峰值對應角度即為寬頻波達方向估計結果.MBM演算法的主瓣寬度在不同分析頻率下基本保持不變,計算量與常規波束形成(CBF,Con-ventional Beamforming)相當.模擬結果表明,MBM演算法的寬頻波達方向估計性能和角度分辨能力介於分別疊加各窄帶的CBF和MUSIC演算法估計結果的ICBF(Incoherent CBF)和IMUSIC(Incoherent MUSIC)演算法之間.
⑷ 問一個信號中MUSIC演算法的問題：
隨機信號的功率譜，描述了信號的功率在頻域的分布情況。
如果是實功率譜，那麼它應該完整描述了功率所分布的頻率范圍，以及在不同頻率處的功率的相對強度。
而MUSIC作為一種高解析度的子空間方法，首先其主要應用於離散譜的估計，比如混疊在一起的單頻信號；其頻譜峰值反映了這些主要信號成分所在的頻率位置，但是其並不能反映各信號成分之間的幅度比值（相對強度），也反映不出信噪比水平，所以MUSIC演算法所得到的「譜」被稱為偽譜。