Normalized Least Mean Square for a Smart Antenna System

PublishTime：2021-10-08

●The smart antenna (SA), also known as the adaptive array antenna (AAA) is an important technique for increasing wideband code division multiple access (WCDMA) system capacity [1]. In WCDMA systems, multiple access interference (MAI) is the major cause of degradation of the uplink performance, since all users communicate simultaneously in the same frequency band. AAA reduces MAI by creating receiver beam patterns that "null out" strong interference sources, thus significantly enhancing system capacity.
●AAA creates these interference-suppressing beam patterns through adaptive beam forming. For this purpose, the pilot symbols are used as a reference signal to generate an error signal, and uplink antenna weights are updated based on the minimum mean squared error (MMSE) criterion. In this context, there are three major MMSE-based algorithms: least mean square (LMS), normalized least mean square (NLMS), and recursive least square (RLS). NLMS is a variant of LMS that requires additional computation but offers superior performance, particularly in fading environments. The rate of convergence for RLS is typically an order of magnitude higher than LMS and NLMS. However, RLS is far more computationally complex. NLMS is thus an intermediate solution in terms of both performance and computational complexity.

Brand of Product：	NXP
Part#：	SC3400 More Part#
Product Category：	smart antenna 、 DSP More
Application：	More
Data Type：	Application note & Design Guide More
Safety & Environment Standards：	More
Operating Temperature：	Please see the document for details
Qualification Grade：	More
Qualification Approval：	More
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Language：	English Chinese Chinese and English Japanese
Date of Creation：	03/2006
Version Number：	Rev.0
Data Encoding：	AN3351
Data Size：	725 KB

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