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Uniform Circular Arrays: Theory & Applications

Updated 23 November 2025
  • Uniform Circular Arrays (UCAs) are antenna configurations with elements evenly distributed along a circle, offering rotational symmetry and uniform spatial coverage.
  • Their circulant structure enables DFT-diagonalization, achieving full spatial multiplexing in LoS MIMO and efficient OAM multiplexing through helical phasefronts.
  • Advanced techniques like delay-phase precoding and precise calibration allow UCAs to maintain near-optimal performance in wideband and dense network scenarios.

A uniform circular array (UCA) consists of NN antenna elements distributed equidistantly along the circumference of a circle with radius RR in a plane, most commonly the xyxy-plane. Each element’s position can be described by a polar angle (azimuthal position) ψn=2πn/N\psi_n = 2\pi n/N for n=0,1,,N1n=0,1,\dots,N-1, yielding a 2D spatial distribution with complete rotational symmetry. This geometry endows UCAs with key properties: identical array response for all azimuth angles, structure amenable to DFT-based diagonalization, and unique channel characteristics in LoS, near-field, wideband, and OAM-multiplexed communications.

1. Geometric Model, Array Manifold, and Channel Structure

Each element of a UCA lies at pn=[Rcosψn,Rsinψn,0]T\mathbf{p}_n = [R\cos\psi_n,\, R\sin\psi_n,\,0]^T. For plane wave incidence from azimuth angle θ\theta (with elevation ϕ\phi), the array manifold (steering vector) is

a(θ,ϕ)=[ejkRcos(θψ0),,ejkRcos(θψN1)]T\mathbf{a}(\theta, \phi) = \left[e^{j k R \cos(\theta-\psi_0)}, \dots, e^{j k R \cos(\theta-\psi_{N-1})}\right]^T

where k=2π/λk=2\pi/\lambda. For LoS MIMO systems utilizing transmit and receive UCAs separated by DD, the element-to-element distance under far-field DRD\gg R is

dnmDRtRrDcos(ψnψm+θo)d_{nm} \approx D - \frac{R_t R_r}{D} \cos(\psi_n - \psi_m + \theta_o)

with misalignment terms for rotation θo\theta_o, tilting (ϕx,ϕy)(\phi_x, \phi_y), and center-shift vector c\mathbf{c} included as per the generic model (Jeon et al., 2020).

The normalized LOS channel coefficient is

h(n,m)=ej2πλd(n,m)h(n,m) = e^{-j \frac{2\pi}{\lambda} d(n,m)}

with the channel matrix HH factoring into circulant (DFT-diagonalizable) forms. Channel singular values depend only on the radii-product-to-distance ratio (RPDR) β=2πRtRr/(λD)\beta = 2\pi R_t R_r / (\lambda D) and relative array rotation, remaining independent of tilting and center-shift (Jeon et al., 2020).

2. DFT-Diagonalization, Multiplexing, and Optimal Design

A core property, the circulant structure, allows HH to be diagonalized by the DFT matrix QQ: H=QΔAQHH = Q \Delta_A Q^H which immediately yields singular values σk\sigma_k as explicit functions of β\beta and θo\theta_o: σk(β,θo)=i=0N1ej(2πi(k1)/Nβcos(2πi/N+θo))\sigma_k(\beta, \theta_o) = \left| \sum_{i=0}^{N-1} e^{-j(2\pi i(k-1)/N - \beta \cos(2\pi i/N + \theta_o))} \right| Thus, UCA-based LoS MIMO achieves full spatial multiplexing with NN streams per symbol, when β\beta is set optimally. Practically, β\beta^\circ is found by 1D search to maximize the sum capacity: C(β)=k=1Nlog2(1+pkσk2(β)/N0)C(\beta) = \sum_{k=1}^N \log_2(1 + p_k \sigma_k^2(\beta)/N_0) with power allocation kpk=PT\sum_k p_k = P_T. Selecting β\beta^\circ (offline for (N,SNR)(N, \mathrm{SNR})), then choosing Rt,RrR_t, R_r so that RtRr=βλD/(2π)R_t R_r = \beta^\circ \lambda D/(2\pi), nearly achieves orthogonal channel conditions; ZF and water-filling receivers then deliver maximal throughput without CSI feedback (Jeon et al., 2020).

NN Optimal β\beta^\circ (SNR 15dB) Rt=RrR_t = R_r at D=100D=100m
4 1.54 0.31 m
8 3.09 0.44 m
12 4.57 0.54 m
16 5.98 0.62 m

With optimal β\beta, the channel matrix approaches unitarity, enabling robust spatial multiplexing with ZF (or ZF+SIC) processing (Jeon et al., 2020).

3. Channel-Independent Beamforming for UCA LoS MIMO

Channel-independent beamforming in UCA systems exploits the circularly symmetric geometry to enable fixed, DFT/IDFT-based precoding and combining that "decouples" the MIMO channel into parallel links. With parallel or aligned UCAs (with or without coaxiality), the fixed transmit matrix Wt=TWW_t = T^* W and receive matrix Wr=WAW_r = W^* A^* (where WW is the DFT/IDFT, A/TA/T are deterministic phase precompensation) reduce the effective channel HeffH_{\text{eff}} to a diagonal form, enabling symbol-wise ML detection at extremely reduced complexity: yn=Hnsn+zn;s^n=argmincCynHnc2y'_n = H_n s_n + z'_n;\qquad \hat{s}_n = \arg\min_{c \in \mathcal{C}} |y'_n - H_n c|^2 Bit-error-rate performance matches that of full CSI-based MIMO processing, while computational cost drops by several orders of magnitude for moderate NN (Jing et al., 2018, Jing et al., 2024). This approach extends to both coaxial and laterally shifted UCA pairs, provided far-field (DRD \gg R) holds.

4. Orbital Angular Momentum (OAM) Multiplexing with UCAs

UCAs are the canonical structure for generating and detecting radio OAM modes, where feeding element nn with phase eiψne^{i \ell \psi_n} realizes helical phasefronts indexed by integer \ell. The array factor for OAM mode \ell is

AF(θ,ϕ)=NeiϕJ(kRsinθ)AF_\ell(\theta, \phi) = N e^{i \ell \phi} J_\ell(k R \sin \theta)

where JJ_\ell is the Bessel function of order \ell, yielding a doughnut-shaped beam with central null for 0\ell \ne 0 (Gaffoglio et al., 2015, Chen et al., 2020). The link budget for OAM transmission acquires an extra decay d22\propto d^{-2|\ell|-2} with distance. Mode isolation is high—mode sorters and precise alignment (mechanical tolerance 1\le 1^\circ) achieve >15>15 dB inter-mode isolation in field experiments. For high-order OAM modes, divergence and attenuation grow rapidly; concentric UCAs (multiple rings) enable capacity-optimized multiplexing using several parallel low-order modes, with water-filling power allocation across rings and modes (Jing et al., 2024, Jing et al., 2024).

5. Wideband Beamforming, Spatial Effects, and Delay-Phase Precoding

UCA hybrid precoding architectures for mmWave/THz operate under spatial-wideband impairments. Unlike ULAs (which suffer beam split), UCAs manifest a "beam defocus" effect: analog phase shifters cannot maintain constructive interference across ultra-large bandwidths, so the main-lobe gain drops at frequencies away from the carrier. The frequency-domain beam pattern is analytically

G(f)=J0(2πRΔf/c)G(f) = | J_0(2\pi R \Delta f/c) |

where Δf=ffc\Delta f = f - f_c. Delay-phase-precoding (DPP) schemes remedy defocus by integrating true-time-delay (TTD) devices per element or subarray, producing frequency-dependent phase shifts and restoring constructive summation over wideband. Analytical and simulation results show DPP with KK TTD taps recovers >90%>90\% of the optimum gain and achieves near-ideal spectral efficiency across multi-GHz bandwidths; narrowband PS-only architectures suffer bandwidth-dependent loss (Wu et al., 2023).

6. Near-Field, XL-MIMO, and Localization

UCAs, due to their rotational symmetry, support angle-independent and omnidirectional near-field beamforming and localization. Key metrics such as effective Rayleigh distance (ERD) quantify the spatial region for beamfocusing; for UCAs,

rERD(C)=πR22λJ01(1δ)r_\text{ERD}^{(C)} = \frac{\pi R^2}{2\lambda J_0^{-1}(1-\delta)}

is angle-invariant, in contrast to ULAs, whose ERD shrinks at off-broadside angles (Wu et al., 2022). In radiative near-field, closed-form expressions for beamdepth and EBRD enable analytic trade-off of coverage versus capacity under element-count or fixed-aperture constraints (Hussain et al., 16 Nov 2025). FFT-accelerated backprojection on sectored UCAs achieves ML-consistent localization with nearly linear complexity, and exact angle quantization with massive UCAs yields real-time 2D-DOA estimation robust to nonuniform noise (Liu et al., 2024, Gong, 17 Jul 2025).

7. Design Guidelines, Implementation, and Calibration

Optimal UCA LoS MIMO mandates setting the RPDR near β\beta^\circ for orthogonalizable channels; this tunes Rt,RrR_t, R_r for a given DD (Jeon et al., 2020). When mechanical constraints limit RR, codebook-based phase precoding with a small feedback overhead (6–10 bits) can recover most capacity loss incurred by sub-optimal β\beta.

Odd-element UCAs, particularly N=3N=3, facilitate wideband decoupling and matching with compact DMNs; advanced microstrip designs (two-stage or star-triangle) extend matching/decoupling bandwidth to several percent RF BW, outperforming simple neutralization-line DMNs (Kornprobst et al., 2021). Calibration—including mutual coupling—can be performed via sparse recovery with an integrated wideband dictionary, combining subspace SVD projection, iterative LASSO, and non-numerical atomic construction (Bozorgasl et al., 2024).

In massive MIMO, UCAs guarantee "favorable propagation": inter-user interference decays as O(N1/3)O(N^{-1/3}) for fixed spacing dd in pure-LoS, an asymptotic property derived via Bessel expansion. Stacking UCAs vertically (cylindrical arrays) achieves double-sided FP for distinct elevation and azimuth (Anarakifirooz et al., 2021).

8. Beamforming, User-Dense Networks, and Concentric UCAs

Concentric UCAs (UCCAs) with multiple rings enable sharper beams, higher beam-packing gains, and enhanced spatial multiplexing. Large-aperture arrays with spacing d>λ/2d > \lambda/2 yield narrower HPBW and up to 30×30\times higher angular packing capacity than conventional planar arrays. SINR and spectral efficiency for UCCAs in dense 5G scenarios exceed planar arrays by up to 5×5\times; moderate sidelobe levels and high efficiency are retained provided amplitude tapering and calibration are implemented (Hasan et al., 2022).

Conclusion

Uniform circular arrays represent a highly symmetric, analytically tractable transceiver architecture offering unique advantages in LoS MIMO, OAM multiplexing, wideband beamforming, and near-field spatial sensing. Their channel structure, when properly exploited (by RPDR tuning or DFT-based beamforming), achieves maximal multiplexing rate and computational efficiency. UCA’s omnidirectional symmetry underpins angle-invariant coverage, favorable propagation, and simplified calibration. Next-generation enhancements—multi-ring concentric architectures, delay-phase precoding, and sparse calibration—continue expanding UCA's practical relevance in ultra-dense, bandwidth-rich communication paradigms.

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