International Telemetering Conference Proceedings / October 20-23, 2003 / Riviera Hotel and Convention Center, Las Vegas, Nevada / A radiolocation problem using DS-CDMA waveforms with array-based receivers is considered. It is
assumed that M snapshots of N(s) Nyquist sample long data are available, with a P element antenna
array. In the handshaking radiolocation protocol assumed here, data training sequences are available for
all K users. As a result, the received spatial-temporal matrix R ∈ C^(MN(s)x P) is approximated by a sum
of deterministic signal matrices S(k)^b ∈ C^(MN(s) N(s)) multiplied by unconstrained array response matrices
A(k) ∈ C^(N(s)x P). The unknown delays are not estimated directly. Rather, the delays are implicitly
approximated as part of the symbol-length long channel, and solutions sparse in the rows of A are
thus sought. The resulting ML cost function is J = ||R - ∑(k=1)^K S(k)^bA(k)||(F). The Generalized Successive
Interference Cancellation (GSIC) algorithm is employed to iteratively estimate and cancel multiuser
interference. Thus, at the k-th GSIC iteration, the index p(k) = arg min(l ≠ p(1),...,p(k-1)) {min(A(l)) ||R^k-S(l)^bA(l)||(F)} is computed, where R^k = ∑(l=1)^(k-1) S(pl)^bÂ(pl). Matching pursuits is embedded in the GSIC iterations to
compute sparse channel/steering vector solutions Â(l). Simulations are presented for DS-CDMA signals
received over channels computed using a ray-tracing propagation model.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/605362 |
| Date | 10 1900 |
| Creators | Iltis, Ronald A., Kim, Sunwoo |
| Contributors | University of California |
| Publisher | International Foundation for Telemetering |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Proceedings |
| Rights | Copyright © International Foundation for Telemetering |
| Relation | http://www.telemetry.org/ |
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