AN OPTIMAL METHOD FOR CHOOSING ENERGY QUANTIZATION LEVELS FOR TRELLIS SOFT DECISION DECODING OF DATA
Original Publication Date: 1995-Mar-01
Included in the Prior Art Database: 2002-Mar-14
Existing data systems employing sofi decision decoding are subject to short RF noise bursts that can adversely affect decoding at "moderate" signal strengths. These bursts, even though they are only one to two symbols times in length, cause the decoder to fail since the burst affects both parame- ters used in the decoding, the symbol value and the corresponding instantaneous symbol energy. The symbol value is not valid, but the since the energy level is raised due to the burst, the decoder to "weighs" the incorrect symbol heavier than the cor- rect symbols causing the decoder to fail.