soft decisions: what decision function to use?
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From: Tim Wescott on 6 Jul 2010 16:19 On 07/06/2010 01:07 PM, gct wrote: >> By definition, soft decision = likelihood of this symbol. The particular >> likelihood function depends on the signal and the channel. >> >> Vladimir Vassilevsky >> DSP and Mixed Signal Design Consultant >> http://www.abvolt.com >> > > How about a simple BPSK signal over an AGWN channel? For any signal over any channel, just calculate the a-posteriori likelihood that the transmitted bit was a 1. That's your soft decision. -- Tim Wescott Wescott Design Services http://www.wescottdesign.com Do you need to implement control loops in software? "Applied Control Theory for Embedded Systems" was written for you. See details at http://www.wescottdesign.com/actfes/actfes.html
From: Manny on 6 Jul 2010 21:20 On Jul 6, 9:19 pm, Tim Wescott <t...(a)seemywebsite.com> wrote: > On 07/06/2010 01:07 PM, gct wrote: > > >> By definition, soft decision = likelihood of this symbol. The particular > >> likelihood function depends on the signal and the channel. > > >> Vladimir Vassilevsky > >> DSP and Mixed Signal Design Consultant > >>http://www.abvolt.com > > > How about a simple BPSK signal over an AGWN channel? > > For any signal over any channel, just calculate the a-posteriori > likelihood that the transmitted bit was a 1. That's your soft decision.. Have a look at Sayed's adaptive filters, chapter one. -Momo
From: gct on 7 Jul 2010 12:31
>Have a look at Sayed's adaptive filters, chapter one. > >-Momo > Thank you for posting something concrete and useful, this was exactly what I needed. |