System identification and filtering using pseudo random binary inputs

✍ Scribed by Tamal Bose; Somenath Mitra

• Book ID: 103090091
• Publisher: Elsevier Science
• Year: 1992
• Tongue: English
• Weight: 613 KB
• Volume: 329
• Category: Article
• ISSN: 0016-0032
• DOI: 10.1016/0016-0032(92)90087-w

✦ Synopsis

The problem of' ident$$ng the impulse response of' an unknown system is inoesti,qated when the input is restricted to a pseudo random binary sequence (PRBS). The retell-knoww methods, such as the Least Mean Square (LMS) and the Recursitle Least Square (RLS) alqorithms, are studied,f?w system modeling with a PRBS input and the results are compared. It is shown that post-processing the impulse response with a suitable.jilter may lead to euetz better identijication. A new post-processingjilter, namely, the Med-Mean (MM) filter, is proposed which smoothes the baseline noise of the ident$ed impulse response while presercing the edges.