A Constrained Least Squares Approach to Mobile Positioning: Algorithms and Optimality

By Ka Wai Cheung, Hing Cheung So, Wing-Kin Ma, Yiu Tong Chan. EURASIP Journal on Advances in Signal Processing, 2006

295 citations recorded by the source corpus.

The problem of locating a mobile terminal has received significant attention in the field of wireless communications. Time-of-arrival (TOA), received signal strength (RSS), time-difference-of-arrival (TDOA), and angle-of-arrival (AOA) are commonly used measurements for estimating the position of the mobile station. In this paper, we present a constrained weighted least squares (CWLS) mobile positioning approach that encompasses all the above described measurement cases. The advantages of CWLS include performance optimality and capability of extension to hybrid measurement cases (e.g., mobile positioning using TDOA and AOA measurements jointly). Assuming zero-mean uncorrelated measurement errors, we show by mean and variance analysis that all the developed CWLS location estimators achieve zero bias and the Cramér-Rao lower bound approximately when measurement error variances are small. The asymptotic optimum performance is also confirmed by simulation results.

Subfields: Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/362b86a72a9cff3ff696d541c3825eabfa1ceb6e

How researchers see this paper

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In Aerospace Engineering

  1. Chia-Chin Chong
  2. Ismail Güvenç

In Artificial Intelligence

  1. Chia-Chin Chong
  2. Ismail Güvenç
  3. S. Chan
  4. Suining He

In Electrical and Electronic Engineering

  1. Ismail Güvenç
  2. Chia-Chin Chong
  3. Andreas F. Molisch
  4. S. Chan
  5. Suining He

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