Table of Contents
Fetching ...

Jutted BMOCZ for Non-Coherent OFDM

Parker Huggins, Alphan Sahin

Abstract

In this work, we propose a zero constellation for binary modulation on conjugate-reciprocal zeros (BMOCZ), called jutted BMOCZ (J-BMOCZ), and study its application to non-coherent orthogonal frequency division multiplexing (OFDM). With J-BMOCZ, we introduce asymmetry to the zero constellation for Huffman BMOCZ, which removes ambiguity at the receiver under a uniform rotation of the zeros. The asymmetry is controlled by the magnitude of "jutted" zeros and enables the receiver to estimate zero rotation using a simple cross-correlation. The proposed method, however, leads to a natural trade-off between asymmetry and zero stability. Accordingly, we introduce a reliability metric to measure the stability of a polynomial's zeros under an additive perturbation of the coefficients, and we apply the metric to optimize the J-BMOCZ zero constellation parameters. We then combine the advantages of J-BMOCZ and Huffman BMOCZ to design a hybrid waveform for OFDM with BMOCZ (OFDM-BMOCZ). The pilot-free waveform enables blind synchronization/detection and has a fixed peak-to-average power ratio that is independent of the message. Finally, we assess the proposed scheme through simulation and demonstrate non-coherent OFDM-BMOCZ using low-cost software-defined radios.

Jutted BMOCZ for Non-Coherent OFDM

Abstract

In this work, we propose a zero constellation for binary modulation on conjugate-reciprocal zeros (BMOCZ), called jutted BMOCZ (J-BMOCZ), and study its application to non-coherent orthogonal frequency division multiplexing (OFDM). With J-BMOCZ, we introduce asymmetry to the zero constellation for Huffman BMOCZ, which removes ambiguity at the receiver under a uniform rotation of the zeros. The asymmetry is controlled by the magnitude of "jutted" zeros and enables the receiver to estimate zero rotation using a simple cross-correlation. The proposed method, however, leads to a natural trade-off between asymmetry and zero stability. Accordingly, we introduce a reliability metric to measure the stability of a polynomial's zeros under an additive perturbation of the coefficients, and we apply the metric to optimize the J-BMOCZ zero constellation parameters. We then combine the advantages of J-BMOCZ and Huffman BMOCZ to design a hybrid waveform for OFDM with BMOCZ (OFDM-BMOCZ). The pilot-free waveform enables blind synchronization/detection and has a fixed peak-to-average power ratio that is independent of the message. Finally, we assess the proposed scheme through simulation and demonstrate non-coherent OFDM-BMOCZ using low-cost software-defined radios.

Paper Structure

This paper contains 26 sections, 1 theorem, 53 equations, 11 figures, 1 table.

Key Result

Proposition 1

Let $K\geq2$ and $R,\zeta>1$. A sufficient condition for $\mathop{\mathrm{arg\,max}}\limits_{\omega\in[0,2\pi)}A_{\mathrm{J}}(\mathrm e^{j\omega})=0$ is where $a\triangleq\zeta R+\zeta^{-1}R^{-1}$ and $b\triangleq R+R^{-1}$.

Figures (11)

  • Figure 1: Proposed JBMOCZ zero pattern for $K=8$, $R=1.176$, and $\zeta=1.15$. (a) Full zero constellation with $2K$ zero positions. (b) Transmitted zeros corresponding to the message $\boldsymbol{\rm{b}}=(1,0,1,1,1,0,0,1)$. (c) Received zeros rotated by $\phi=(12/7)\theta_K$ radians. (d) Received zeros after correcting $\phi$ via \ref{['eq:template_corr']}, which exactly correspond to the transmitted message.
  • Figure 2: Example JBMOCZ template transforms for $K=16$ and $R=1.093$.
  • Figure 3: JBMOCZ zero perturbation at $E_\mathrm{b}/N_0=10$ dB with $K=8$, $R=1.176$, and $\zeta=1.15$. The zeros are shaded according to their stability estimated via \ref{['eq:zero_capacity']} as $\hat{C}_k=C_k/N$, where $N=1024$.
  • Figure 4: Design curves for JBMOCZ parameter selection showing the minimum zero stability identified via \ref{['eq:seq_capacity']} as a function of the radius and asymmetry factor.
  • Figure 5: Proposed hybrid OFDM-BMOCZ waveform with repeated Huffman BMOCZ preamble for coarse time synchronization and CFO estimation, JBMOCZ symbol for residual TO estimation, and Huffman BMOCZ payload. Observe that, without correction, the residual TO (and hence the DFT window) evolves with the OFDM symbol index.
  • ...and 6 more figures

Theorems & Definitions (8)

  • Definition 1
  • Example 1
  • Example 2
  • Example 3
  • Remark 1
  • Proposition 1
  • Remark 2
  • proof