hi, I have an adaptive equalizer which implements a dfe which works reasonably well but I am trying to reduce the excess MSE after convergence. What changes can I make by throwing in some more hardware at it to get slightly lower MSE ? I am afraid I can afford only 2x~3x more multipliers only. Any hope ? I am trying to keep my convergence rate constant. Thanks.
improving an lms filter
Started by ●December 29, 2004
Reply by ●December 29, 20042004-12-29
mk<kal@delete.dspia.com> writes:> hi, > I have an adaptive equalizer which implements a dfe which works > reasonably well but I am trying to reduce the excess MSE after > convergence. What changes can I make by throwing in some more hardware > at it to get slightly lower MSE ? I am afraid I can afford only 2x~3x > more multipliers only. Any hope ? I am trying to keep my convergence > rate constant.As far as I know, the only way to improve MSE is to reduce the step-size, but that slows convergence as you imply. Could you oversample the system while reducing step-size so that the convergence rate remains constant in real-time? -- % Randy Yates % "Bird, on the wing, %% Fuquay-Varina, NC % goes floating by %%% 919-577-9882 % but there's a teardrop in his eye..." %%%% <yates@ieee.org> % 'One Summer Dream', *Face The Music*, ELO http://home.earthlink.net/~yatescr
Reply by ●January 3, 20052005-01-03
There might be a way by implementing a "data-reusing" LMS algorithm. This may increase convergence too with little hardware changes. These types of algs are discussed in an advanced topics on adaptive filtering text (the book info escapes me at the moment). Jim Randy Yates wrote:> mk<kal@delete.dspia.com> writes: > > > hi, > > I have an adaptive equalizer which implements a dfe which works > > reasonably well but I am trying to reduce the excess MSE after > > convergence. What changes can I make by throwing in some morehardware> > at it to get slightly lower MSE ? I am afraid I can afford only2x~3x> > more multipliers only. Any hope ? I am trying to keep myconvergence> > rate constant. > > As far as I know, the only way to improve MSE is to reduce the > step-size, but that slows convergence as you imply. Could you > oversample the system while reducing step-size so that theconvergence> rate remains constant in real-time? > -- > % Randy Yates % "Bird, on the wing, > %% Fuquay-Varina, NC % goes floating by > %%% 919-577-9882 % but there's a teardrop in hiseye..."> %%%% <yates@ieee.org> % 'One Summer Dream', *Face TheMusic*, ELO> http://home.earthlink.net/~yatescr