Blind demodulation
Webthe blind demodulation problem under generative prior we study is: find h 2 Rn and m 2 Rp, up to the scaling ambiguity, such that y 0 = G (1)(h)G(2)(m). In recent years, advances in generative modeling of images [Karras et al., 2024] has significantly increased the scope of using a generative model as a prior in inverse problems. Generative ... WebJun 19, 2024 · The estimation results of DPN along with its blind decoding performance are shown to outperform a blind signal processing algorithm for BPSK and QPSK on a simulated dataset. An over-the-air software-defined-radio capture was used to verify DPN results at high SNRs. DPN design can process variable length inputs and is shown to …
Blind demodulation
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WebMay 30, 1999 · The blind MMSE linear detector can be implemented by the Griffiths' adaptation algorithm. However, its convergence speed is limited by the wide eigenvalue spread of the correlation matrix associated with the received signal vectors. ... {Hwang1999AdaptiveBD, title={Adaptive blind demodulation of DS/CDMA signals with … WebBlind Demodulation 239 3 Blind Demodulation Framework An overview of the proposed blind demodulation framework is illustrated in Fig. 2. In the following, a brief description of the particular stages is provided. 3.1 Carrier Detection The detection of carriers is performed in the frequency domain using a well-averaged periodogram [6].
Webto extend existing blind demodulation techniques to multi-tone waveforms such as MIL-STD-188-110B (Appendix B) and OFDM, developing a capability to identify signal types based on short data records, and maintaining robust-ness to channel effects. In this paper, we report on the first phase of our approach, namely, building a coarse classifier WebBlind Demodulation for DS-CDMA transmission over frequency selective channels Vincent Le Nir, Toon van Waterschoot, Jonathan Duplicy, and Marc Moonen I. ABSTRACT In …
WebThe problem of blind demodulation of multiuser information symbols in a high-rate code-division multiple-access (CDMA) network in the presence of both multiple-access … Web(CFO). The blind demodulator’s performance in AWGN and a perfect channel is evaluated where it improves using a greater number OFDMA Downlink (DL) symbols and increased Cyclic Prefix (CP) length. Performance in a channel with a single multi-path interferer is also evaluated where the blind demodulator’s performance is degraded.
WebFeb 13, 2024 · The task of finding a sparse signal decomposition in an overcomplete dictionary is made more complicated when the signal undergoes an unknown modulation (or convolution in the complementary Fourier domain). Such simultaneous sparse recovery and blind demodulation problems appear in many applications including medical …
WebOct 19, 2016 · The method allows for recovery of the original sample texture in spite of the presence of temporal-spatial distortions. We address a blind-demodulation problem where, based on several observations of the sample texture modulated by undesired sweep distortions, the two classes of signals are separated with minimal damage to the main … isaiah forty three oneWebJan 1, 2015 · The theory analysis and experimental results indicate that the proposed scheme can achieve a high discrimination of modulation type and results in blind demodulation. Discover the world's research ... ole harckWebsignal demodulation. On the basis of analyzing the structure of convolutional neural network (CNN), an improved CNN structure is proposed, which does not need to … ole hammer hildesheimWebsignal demodulation. On the basis of analyzing the structure of convolutional neural network (CNN), an improved CNN structure is proposed, which does not need to recognize modulation methods and realizes blind demodulation of mixed signals with different signal-to-noise ratio (SNR). Through transfer oleh antonyshynWebJan 1, 2024 · The proposed acceleration method can significantly improve the computational efficiency of blind demodulation methods. ... Blind image decomposition is an inverse problem that is much harder to be solved than non-blind image decomposition from noisy images, commonly producing staircase effects in flat regions and smoothing fine … ole hans christiansenWebWe study a deep learning inspired formulation for the blind demodulation prob-lem, which is the task of recovering two unknown vectors from their entrywise multiplication. We … ole haughemWebIn addition, this is the core content of the paper—the blind identification of FEC coding types. Blind recognition of error-correcting code types is also of great significance to improve the accuracy and efficiency of code parameter recognition. ... as shown in Figure 1. It includes source coding, channel coding, modulator, demodulator, data ... olehas blochinas