UWB ranging explained

Ultra-wideband impulse radio ranging (or UWB-IR ranging) is a wireless positioning technology based on IEEE 802.15.4z standard,[1] which is a wireless communication protocol introduced by IEEE, for systems operating in unlicensed spectrum, equipped with extremely large bandwidth transceivers. UWB enables very accurate ranging[2] (in the order of centimeters) without introducing significant interference with narrowband systems. To achieve these stringent requirements, UWB-IR systems exploit the available bandwidth[3] (which exceeds 500 MHz for systems compliant to IEEE 802.15.4z protocol) that they support, which guarantees very accurate timing (and thus ranging) and robustness against multipath, especially in indoor environments.[4] The available bandwidth also enables UWB systems to spread the signal power over a large spectrum[5] (this technology is thus called spread spectrum[6]), avoiding narrowband interference.[7] [8] [9]

Protocol

UWB-IR relies on the low-power transmission of specific sequences of short-duration pulses. The transmit power is limited according to FCC regulations, in order to reduce interference and power consumption. The bands supported by the standard are the following ones:

The primary time division in UWB systems is structured in frames. Each frame is composed by the concatenation of 2 sequences:

The further time subdivisions of the preamble and the PPDU are organized in different ways. For localization purposes, only the preamble is employed (and described in detail later on), since it is specifically designed to perform accurate synchronization at receiver side.

The SHR sequence is composed by the concatenation of 2 other subsequences:

Nsync\in\{16,64,1024,4096\}

identical symbols.

Nsfd\in\{8,64\}

different symbols, generated according to a specific code which enables to easily detect the time delimitations of the frame.

L

chips.

L

is called spreading factor and it is defined as the ratio between the PRF and the chip rate.

L

can be equal to 16 or 64 for length-31 codes while it is set to 4 for length-127 codes; thus the number of chips per symbol

Ncps\in\{496,508,1984\}

. The purpose of the spreading factor, as the name suggests, is to spread the signal in time domain, in order to make the chips very sparse in time, allowing to reduce interference with other systems operating in the same band.

fc

= 500 MHz or, alternatively, the chip time is

Tc

= 2 ns.

SHR waveform

The transmitted SHR waveform (baseband equivalent) can be modeled as follows

x(t) = \sum_ c_ \cdot p \big(t - n L T_c - k N_ T_c \big)

where the parameters are defined as shown here below

ckn\in\{0,\pm1\}

.

p(t)

is the pulse shape.

L

is the spreading factor.

Ncps

is the number of chips per symbol.

Tc

is the chip time.

The received SHR waveform can instead be described as

y(t) = \sum_ \alpha_\ell \cdot c_ \cdot p \big(t - n L T_c - k N_ T_c -\tau_\ell \big) + w(t)

where the additional parameters are defined as follows

\alpha\ell

and

\tau\ell

are the complex channel gain and the propagation delay associated to the

\ellth

path.

w(t)

is the noise waveform, which is usually described as AWGN.In order to associate the propagation delay to a distance, there must exists a LoS path between transmitter and receiver or, alternatively, a detailed map of the environment has to be known in order to perform localization based on the reflected rays.

In presence of multipath, the large bandwidth is of paramount importance to distinguish all the replicas, which otherwise would significantly overlap at receiver side, especially in indoor environments.

Ranging

The propagation delay can be estimated through several algorithms, usually based on finding the peak of the cross-correlation between the received signal and the transmitted SHR waveform. Commonly used algorithms are maximum correlation and maximum likelihood.[10] [11] There are two methods to estimate the mutual distance between the transceivers.[12] [13] [14] The first one is based on the time of arrival (TOA) and it is called one-way ranging. It requires a priori synchronization between the anchors and it consists in estimating the delay and computing the range as

\hat = c\cdot \hatwhere

\hat{\tau}

refers to the LoS path estimated delay.

The second method is based on the round-trip time (RTT) and it is called two-way ranging. It consists in the following procedure:

T

T

, the second anchor transmits the acknowledgment frame

In this second case the distance between the 2 anchors can be computed as

\hat = \frac \cdot c \cdot (\hat - T)Also in this case

\hat{\tau}

refers to the LoS path estimated delay.

Pros and cons

Performing ranging through UWB presents several advantages:

However, there are also some disadvantages related to UWB systems:

See also

External links

Notes and References

  1. 2020 . IEEE 802.15.4-2020: Standard for Low-Rate Wireless Networks . IEEE. 10.1109/IEEESTD.2020.9144691 . 978-1-5044-6689-9 .
  2. 2015 . UWB ranging accuracy . IEEE.
  3. 1998 . Impulse Radio: How It Works . IEEE. 10.1109/4234.660796 . Win . M.Z. . Scholtz . R.A. . 2 . 2 . 36–38 .
  4. 2002 . Ranging in a dense multipath environment using an UWB radio link . IEEE.
  5. 1999 . Spectral density of random time-hopping spread-spectrum UWB signals with uniform timing jitter . IEEE.
  6. Book: Torrieri, Dan . Principles of Spread-Spectrum Communication Systems . Springer . 2005 . 5th.
  7. 2002 . On the UWB system coexistence with GSM900, UMTS/WCDMA, and GPS . IEEE.
  8. 2002 . The performance of a direct-sequence spread ultrawideband system in the presence of multipath, narrowband interference, and multiuser interference . IEEE.
  9. 2002 . On the performance of UWB and DS-spread spectrum communication systems . IEEE.
  10. 2006 . TOA estimation for IR-UWB systems with different transceiver types . IEEE.
  11. Performance of TOA estimation algorithms in different indoor multipath conditions . IEEE.
  12. Book: Waltenegus . Dargie . Fundamentals Of Wireless Sensor Networks: Theory And Practice . Poellabauer . Christian . Wiley . 2010.
  13. 2005 . Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks . IEEE. 10.1109/MSP.2005.1458289 . Gezici . S. . Zhi Tian . Giannakis . G.B. . Kobayashi . H. . Molisch . A.F. . Poor . H.V. . Sahinoglu . Z. . 22 . 4 . 70–84 .
  14. Book: Zekavat . Reza . Handbook of Position Location: Theory, Practice, and Advances . Buehrer . R. Michael . Wiley . 2011.