What do these parameters mean when performing Wiener deconvolution?

[l291351760]

if not(isempty(denominator(denominator<threshold)))
Pt = sqrt(MN)0.9472; % for 16QAM
Pr = mean(abs(Ydd_dft(:)));
Ph = (Pr - noiseVarsqrt(MN));
Ph_est = mean(abs(Hdd_dft(:)));
est_err = (Ph_estPt - Ph)/sqrt(MN)/2;
denominator = denominator + est_err;
end
What do Pt, Pr, Ph and Ph_est stand for?
Hope you can tell me, thank you

[l291351760]

Implore brothers to inform

[hassiweb]

Hi,

Thank you for asking me.

Pt, Pr, Ph and Ph_est are the transmission power, received power, channel gain, and estimated channel gain, respectively.
As my paper doesn't state this calculation in detail (only the following footnote), it might not be an optimal method to conduct the best solution, and it isn't practical.
Please tackle it if you are interested in.

Note: If channel estimation error exists in Λl
, the Wiener
deconvolution can be empirically adjusted by two following
options. The noise variance term in (22) can be considered an
adjustable empirical parameter chosen to balance sharpness
against noise [11]. Alternatively, the denominator of (22)
should be modified locally to avoid zero division or division
by a small value when high SNR [12].

Thanks and regards,

[l291351760]

Thank you for answering, thank you very much

[l291351760]

Sorry, I don't understand the detailed principle, I directly follow the ideas of the big guys.

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------------------&nbsp;原始邮件&nbsp;------------------ 发件人: "hassiweb/otfs-chan-est-and-eq" ***@***.***&gt;; 发送时间:&nbsp;2024年8月7日(星期三) 下午3:35 ***@***.***&gt;; ***@***.******@***.***&gt;; 主题:&nbsp;Re: [hassiweb/otfs-chan-est-and-eq] What do these parameters mean when performing Wiener deconvolution? (Issue #2) May I ask if you could provide me with a detailed introduction to the specific calculation principles of signal power, noise power, and gain? Why can they be expressed and calculated in this way? How does the coefficient root MN come from? Thank you very much — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: ***@***.***&gt;

[hassiweb]

Hi @xpp237, Hdd_dft and Ydd_dft are not power-normalized after applying fft2. This is why you need to take into account this gain in these calculations.